Theme: Machine Learning and Natural Language Systems

Return to Microsoft Research Lab – India

Machine Learning and AI | India

Publications

View by:

- Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference
  
  Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N Balasubramanian, Amit Sharma
  
  ICLR 2025 | April 2025
  
  Publication Project
- Robust Root Cause Diagnosis using In-Distribution Interventions
  
  Lokesh Nagalapatti, Ashutosh Srivastava, Sunita Sarawagi, Amit Sharma
  
  2025 International Conference on Learning Representations | April 2025
  
  Publication Project
- Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
  
  Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan
  
  Transactions on Machine Learning Research (TMLR) | August 2024
  
  Outstanding Certification Finalist
  
  Selected for presentation at ICLR 2025
  
  Publication Preprint Project
- MEGA: Multilingual Evaluation of Generative AI
  
  Kabir Ahuja, Harshita Diddee, Rishav Hada, Millicent Ochieng, Krithika Ramesh, Prachi Jain, Akshay Nambi, Tanuja Ganu, Sameer Segal, Mohamed Ahmed, Kalika Bali, Sunayana Sitaram
  
  EMNLP 2023 | October 2023
  
  Publication Github Project Project Project
- Deep encoders with auxiliary parameters for extreme classification
  
  Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma
  
  KDD 2023 | August 2023
  
  Publication
- A Comparative Study on the Impact of Model Compression Techniques on Fairness in Language Models
  
  Krithika Ramesh, Arnav Chavan, Shrey Pandit, Sunayana Sitaram
  
  ACL 2023 | July 2023
  
  Publication Project
- ACL 2023 Multilingual Models Tutorial Slides
  
  Kalika Bali, Monojit Choudhury, Sunayana Sitaram, Barun Patra, Vishrav Chaudhary, Kabir Ahuja
  
  July 2023
  
  Publication Project
- On Evaluating and Mitigating Gender Biases in Multilingual Settings
  
  Aniket Vashishtha, Kabir Ahuja, Sunayana Sitaram
  
  ACL 2023 | July 2023
  
  Publication Project
- Personalized retrieval over millions of items
  
  Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma
  
  In Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval | July 2023
  
  Publication
- Renee: End-to-end training of extreme classification models
  
  Vidit Jain, Jatin Prakash, Deepak Saini, Jian Jiao, Ramachandran Ramjee, Manik Varma
  
  In Proceedings of the Conference on Machine Learning and Systems, Miami, Florida | June 2023
  
  Publication Project
- NGAME: Negative mining-aware mini-batching for extreme classification
  
  K. Dahiya, N. Gupta, D. Saini (desaini), A. Soni, Y. Wang, K. Dave, J. Jiao, K. Gururaj, P. Dey, A. Singh, D. Hada, V. Jain, B. Paliwal, A. Mittal, S. Mehta, R. Ramjee, S. Agarwal, P. Kar, Manik Varma
  
  ACM International Conference on Web Search and Data Mining, Singapore | March 2023
  
  Publication
- Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
  
  Jivat Neet Kaur, Emre Kiciman, Amit Sharma
  
  International Conference on Learning Representations (ICLR) | January 2023
  
  Notable Top-25% of accepted papers
  
  Publication Project
- Matching Learned Causal Effects of Neural Networks with Domain Priors
  
  Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N Balasubramainan, Amit Sharma
  
  ICML 2022 | July 2022
  
  Publication Project
- Multimodal extreme classification
  
  Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma
  
  IEEE/CVF Conference on Computer Vision and Pattern Recognition | June 2022
  
  Publication
- LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems
  
  Anirudh Srinivasan, Gauri Kholkar, Rahul Kejriwal, Tanuja Ganu, Sandipan Dandapat, Sunayana Sitaram, Balakrishnan Santhanam, Somak Aditya, Kalika Bali, Monojit Choudhury
  
  Thirty-sixth AAAI Conference on Artificial Intelligence | February 2022
  
  System Demonstration
  
  Publication Video Github Project
- Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals
  
  Saloni Dash, Vineeth Balasubramanian, Amit Sharma
  
  Winter Conference on Applications of Computer Vision (WACV) | January 2022
  
  PDF Publication Project
- Generalized Zero-Shot Extreme Multi-label Learning
  
  Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma
  
  2021 Knowledge Discovery and Data Mining | August 2021
  
  DOI Publication Project
- A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies
  
  A. Seza Doğruöz, Sunayana Sitaram, Barbara E. Bullock, Almeida Jacqueline Toribio
  
  2021 Meeting of the Association for Computational Linguistics | August 2021
  
  DOI PDF Publication Publication Publication Publication Publication Project
- SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels
  
  Kunal Dahiya, Ananye Agarwal, Deepak Saini, Gururaj K, Jian Jiao, Amit Singh, Sumeet Agarwal, Purushottam Kar, Manik Varma
  
  ICML 2021 | July 2021
  
  PDF
- Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization
  
  Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain
  
  2021 International Conference on Machine Learning | July 2021
  
  PDF Publication Project Project
- Domain Generalization using Causal Matching
  
  Divyat Mahajan, Shruti Tople, Amit Sharma
  
  International Conference on Machine Learning (ICML) | July 2021
  
  Publication Github Project Project
- Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs
  
  Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam
  
  Knowledge Discovery and Data Mining Workshop on Deep Learning on Graphs: Method and Applications (DLG-KDD) | June 2021
  
  Publication
- A Case Study of Efficacy and Challenges in Practical Human-in-Loop Evaluation of NLP Systems Using Checklist
  
  Shaily Bhatt, Rahul Jain, Sandipan Dandapat, Sunayana Sitaram
  
  Workshop on Human Evaluation of NLP Systems | April 2021
  
  Publication Project
- ECLARE: Extreme classification with label graph correlations
  
  Anshul Miital, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma
  
  ACM International WWW Conference | April 2021
  
  Publication
- GalaXC: Graph neural networks with labelwise attention for extreme classification
  
  Deepak Saini, Arnav Kumar Jain, Kushal Dave, Jian Jiao, Amit Singh, Ruofei Zhang, Manik Varma
  
  ACM International World Wide Web Conference | April 2021
  
  PDF
- GCM: A Toolkit for Generating Synthetic Code-mixed Text
  
  Mohd Sanad Zaki Rizvi, Anirudh Srinivasan, Tanuja Ganu, Monojit Choudhury, Sunayana Sitaram
  
  2021 Conference of the European Chapter of the Association for Computational Linguistics | April 2021
  
  DOI Publication Publication Project
- Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End
  
  Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma
  
  AAAI/ACM Conference on AI, Ethics, and Society (AIES) | April 2021
  
  PDF Publication Project Project
- DECAF: Deep extreme classification with label features
  
  Anshul Mittal , Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma
  
  ACM International Conference on Web Search and Data Mining | March 2021
  
  Publication
- DeepXML: A deep extreme multi-Label learning framework applied to short text documents
  
  Kunal Dahiya, Deepak Saini, Anshul Mittal, Kushal Dave, Himanshu Jain, Sumeet Agarwal, Manik Varma
  
  ACM International Conference on Web Search and Data Mining | March 2021
  
  Publication
- Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions
  
  Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
  
  ACM Intl. Conf. on Web Search and Data Mining (WSDM) | March 2021
  
  PDF Publication Publication Project
- The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
  
  Naman Goel, Alfonso Amayeulas, Amit Deshpande, Amit Sharma
  
  AAAI Conference on Artificial Intelligence (AAAI) | February 2021
  
  Publication PDF Project
- RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference
  
  Oindrila Saha, Venkata Aditya Kusupati, Harsha Simhadri, Manik Varma, Prateek Jain
  
  NeurIPS 2020 | November 2020
  
  Publication Project Project
- Do Multilingual Users Prefer Chat-bots that Code-mix? Let’s Nudge and Find Out!
  
  Anshul Bawa, Pranav Khadpe, Pratik Joshi, Kalika Bali, Monojit Choudhury
  
  Proceedings of the ACM on Human-Computer Interaction | May 2020, Vol 41(CSCW1): pp. 1-23
  
  DOI Project
- Extreme Regression for Dynamic Search Advertising
  
  Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma
  
  ACM International Conference on Web Search and Data Mining | February 2020
  
  Publication Project
- Explaining Machine Learning Classifiers through Diverse Counterfactual Examples
  
  Ramaravind K. Mothilal, Amit Sharma, Chenhao Tan
  
  ACM Conference on Fairness, Accountability, and Transparency | January 2020
  
  PDF Github Project Project
- GesturePod: Enabling on-device gesture-based interaction for white cane users
  
  Shishir G. Patil, Don Kurian Dennis, Chirag Pabbaraju, Nadeem Shaheer, Harsha Simhadri, Vivek Seshadri, Manik Varma, Prateek Jain
  
  ACM Symposium on User Interface Software and Technology | October 2019
  
  Publication
- One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification
  
  Dhrubojyoti Roy, S. Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, A. Arora
  
  ACM Transactions on Sensor Networks | September 2019
  
  DOI Publication Publication Project
- Slice: Scalable Linear Extreme Classifiers trained on 100 Million Labels for Related Searches
  
  Himanshu Jain, Venkatesh Balasubramanian, Bhanu Chunduri, Manik Varma
  
  WSDM ’19 | February 2019
  
  Best Paper Award
  
  PDF
- Learning Natural Programs from a Few Examples in Real-Time
  
  Nagarajan Natarajan, Danny Simmons, Naren Datha (narend), Prateek Jain, Sumit Gulwani
  
  AIStats | January 2019
  
  Publication Project
- FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network
  
  Aditya Kusupati, Manish Singh, Kush Bhatia, Ashish Kumar, Prateek Jain, Manik Varma
  
  NIPS 2018 | December 2018
  
  Publication Github Project Project
- Word Embeddings for Code-Mixed Language Processing
  
  Adithya Pratapa, Monojit Choudhury, Sunayana Sitaram
  
  Empirical Methods in Natural Language Processing (EMNLP) | November 2018
  
  Publication Project
- Homophone Identification and Merging for Code-switched Speech Recognition
  
  Brij Mohan Lal Srivastava, Sunayana Sitaram
  
  Interspeech 2018 | September 2018
  
  Publication Project
- Automatic Detection of Code-switching Style from Acoustics
  
  SaiKrishna Rallabandi, Sunayana Sitaram, Alan W Black
  
  Workshop on Computational Approaches to Linguistic Code Switching, 2018 | July 2018
  
  Publication Project
- Phone Merging For Code-switched Speech Recognition
  
  Sunit Sivasankaran, Brij Mohan Lal Srivastava, Sunayana Sitaram, Kalika Bali, Monojit Choudhury
  
  Workshop on Computational Approaches to Linguistic Code Switching, 2018 | July 2018
  
  Publication Project
- Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data
  
  Adithya Pratapa, Gayatri Bhat, Monojit Choudhury, Sunayana Sitaram, Sandipan Dandapat, Kalika Bali
  
  Proceedings of ACL 2018 | July 2018
  
  Publication Project
- Accommodation of Conversational Code-Choice
  
  Anshul Bawa, Monojit Choudhury, Kalika Bali
  
  The Third Workshop on Computational Approaches to Code-Switching | July 2018
  
  Publication Project
- An Integrated Representation of Linguistic and Social Functions of Code-Switching
  
  Silvana Hartmann, Monojit Choudhury, Kalika Bali
  
  Proceedings of LREC 2018 | May 2018
  
  Publication Publication Project
- Discovering Canonical Indian English Accents: A Crowdsourcing-based Approach
  
  Sunayana Sitaram, Varun Manjunath, Varun Bharadwaj, Monojit Choudhury, Kalika Bali, Michael Tjalve
  
  LREC 2018 | May 2018
  
  Publication
- Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising
  
  Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma
  
  ACM International WWW Conference | April 2018
  
  Publication
- Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation
  
  Yashoteja Prabhu, Anil Kag, Shilpa Gopinath, Kunal Dahiya, Shrutendra Harsola, Rahul Agrawal, Manik Varma
  
  ACM International Conference on Web Search and Data Mining | February 2018
  
  Publication Publication Project
- Curriculum Design for Code-switching: Experiments with Language Identification and Language Modeling with Deep Neural Networks
  
  Ashutosh Baheti, Sunayana Sitaram, Monojit Choudhury, Kalika Bali
  
  ICON 2017 | December 2017
  
  Publication Project
- All that is English may be Hindi: Enhancing Language Identification through Automatic Ranking of Likeliness of Word Borrowing in Social Media
  
  Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Abhipsha Basu, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee
  
  Proc of EMNLP 2017 | September 2017
  
  Publication Project
- Speech Synthesis for Mixed-Language Navigation Instructions
  
  Khythiraghavi Chandu, Sai Krishna Rallabandi, Sunayana Sitaram, Alan W Black
  
  Interspeech 2017 | August 2017
  
  Publication Project
- Estimating Code-Switching on Twitter with a Novel Generalized Word-Level Language Detection Technique
  
  Shruti Rijhwani, Royal Sequiera, Monojit Choudhury, Kalika Bali, Chandra Maddila
  
  Proc. of ACL 2017 | July 2017
  
  Publication Project
- Active Heteroscedastic Regression
  
  Kamalika Chaudhuri, Prateek Jain, Nagarajan Natarajan
  
  2017 International Conference on Machine Learning | July 2017
  
  PDF
- Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things
  
  Ashish Kumar, Saurabh Goyal, Manik Varma
  
  ICML 2017 | May 2017
  
  PDF Project Project
- ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices
  
  Ankit Gupta, Chirag GuptaArun Sai Suggala, Ankit Gupta, Harsha Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain
  
  International Conference on Machine Learning, Sydney | February 2017
  
  Publication Project Project
- I may talk in English but gaali toh Hindi mein hi denge: A study of English-Hindi Code-Switching and Swearing Pattern on Social Networks
  
  Jeenu Grover, Prabhat Agarwal, Ashish Sharma, Mayank Sikka, Koustav Rudra, Monojit Choudhury
  
  January 2017
  
  Proceedings of the Social Networking Workshop, COMSNETS 2017
  
  Publication
- Overview of the Mixed Script Information Retrieval (MSIR)
  
  Somnath banerjee, Kunal Chakma, Sudip Kumar Naskar, Amitava Das, Paolo Rosso, Sivaji Bandyopadhyay, Monojit Choudhury
  
  Proceedings of FIRE 2016 | December 2016
  
  Publication
- Regret Bounds for Non-decomposable Metrics with Missing Labels
  
  Nagarajan Natarajan, Prateek Jain
  
  2016 Neural Information Processing Systems | December 2016
  
  Publication Publication Publication Publication Publication
- Natural Language Model Re-usability for Scaling to Different Domains
  
  Young-Bum Kim, Alexandre Rochette , Ruhi Sarikaya
  
  Empirical Methods in Natural Language Processing (EMNLP) | November 2016
  
  Publication
- Understanding Language Preference for Expression of Opinion and Sentiment: What do Hindi-English Speakers do on Twitter?
  
  Koustav Rudra, Shruti Rijhwani, Rafiya Begum, Monojit Choudhury, Kalika Bali, Niloy Ganguly
  
  Proceedings of EMNLP 2016 | October 2016
  
  Publication Publication
- Experiments with Cross-lingual Systems for Synthesis of Code-Mixed Text
  
  Sunayana Sitaram, Sai Krishna Rallabandi, Shruti Rijhwani, Alan W Black
  
  Speech Synthesis Workshop 9 | September 2016
  
  Publication
- Syntactic Complexity of Web Search Queries through the Lenses of Language Models, Networks and Users
  
  Rishiraj Saha Roy, Smith Agarwal, Niloy Ganguly, Monojit Choudhury
  
  Information Processing & Management | September 2016, pp. 923-948
  
  Publication Publication
- Experiments with Cross-lingual Systems for Synthesis of Code-Mixed Text
  
  Sunayana Sitaram, Sai Krishna Rallabandi, Shruti Rijhwani, Alan W Black
  
  Speech Synthesis Workshop 8 | August 2016
  
  Publication Project
- Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications.
  
  Himanshu Jain, Yashoteja Prabhu, Manik Varma
  
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2016
  
  Publication Project
- Scalable Semi-Supervised Query Classification Using Matrix Sketching
  
  Young-Bum Kim, Karl Stratos, Ruhi Sarikaya
  
  July 2016
  
  Publication Project
- Nearly-optimal Robust Matrix Completion
  
  Yeshwanth Cherapanamjeri, Kartik Gupta, Prateek Jain
  
  MSR-TR-2016-21 | July 2016
  
  Publication Publication Project
- Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja’s Algorithm
  
  Prateek Jain, Chi Jin, Sham Kakade, Praneeth Netrapalli, Aaron Sidford
  
  Proceedings of The 29th Conference on Learning Theory (COLT) | June 2016
  
  Proceedings of The 29th Conference on Learning Theory (COLT)
  
  Publication Publication Project
- Efficient and Consistent Robust Time Series Analysis
  
  Kush Bhatia, Prateek Jain, Purushottam Kar, Kamalaurben Parameswaran
  
  MSR-TR-2016-20 | June 2016
  
  Publication Publication Project
- Diverse Yet Efficient Retrieval using Hash Functions
  
  Vidyadhar Rao, Prateek Jain, C V Jawahar
  
  Proceedings of ACM International Conference in Multimedia Retrieval (ICMR) | June 2016
  
  Publication Publication
- Task Completion Platform: A self-serve multi-domain goal oriented dialogue platform
  
  Paul A. Crook, Alex Marin, V. Agarwal, K. Aggarwal, T. Anastasakos, R. Bikkula, D. Boies, Asli Celikyilmaz, S. Chandramohan, Z. Feizollahi, R. Holenstein, M. Jeong, Omar Zia Khan, Young-Bum Kim, E. Krawczyk, X. Liu, D. Panic, V. Radostev, N. Ramesh, J.-P. Robichaud, A. Rochette, L. Stromberg, Ruhi Sarikaya
  
  June 2016
  
  Publication Publication Project
- Structured Sparse Regression via Greedy Hard-Thresholding
  
  Prateek Jain, Nikhil Rao, Inderjit S. Dhillon
  
  Neural Information Processing Systems (NIPS) | May 2016
  
  Neural Information Processing Systems (NIPS)
  
  Publication Publication Project
- Tensor vs Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations
  
  Anima Anandkumar, Prateek Jain, Yang Shi, U N Niranjan
  
  Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS) | May 2016
  
  Publication Publication Project
- A Statistical Approach To Material Classification Using Image Patch Exemplars
  
  Manik Varma, Andrew Zisserman
  
  IEEE Transactions on Pattern Analysis and Machine Intelligence | January 2016
  
  Publication
- Alternating Minimization for Regression Problems with Vector-valued Outputs
  
  Prateek Jain, Ambuj Tewari
  
  Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS) | December 2015
  
  Publication Project
- Predtron: A Family of Online Algorithms for General Prediction Problems
  
  Prateek Jain, Nagarajan Natarajan, Ambuj Tewari
  
  Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS) | December 2015
  
  Publication
- Robust Regression via Hard Thresholding
  
  Kush Bhatia, Prateek Jain, Purushottam Kar
  
  Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS) | December 2015
  
  Publication Publication Project
- Sparse Local Embeddings for Extreme Multi-label Classification
  
  Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, Prateek Jain
  
  Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS) | December 2015
  
  Publication Publication
- POS Tagging of Hindi-English Code Mixed Text from Social Media: Some Machine Learning Experiments
  
  Royal Sequiera, Monojit Choudhury, Kalika Bali
  
  2015 Proceedings of International Conference on NLP | December 2015
  
  Publication Publication Project
- Efficient Matrix Sensing Using Rank-1 Gaussian Measurements
  
  Kai Zhong, Prateek Jain, Inderjit S. Dhillon
  
  Proceedings of 26th International Conference on Algorithmic Learning Theory (ALT) | October 2015
  
  Publication Project
- New Transfer Learning Techniques For Disparate Label Sets
  
  Young-Bum Kim, Karl Stratos, Ruhi Sarikaya, Minwoo Jeong
  
  Association for Computational Linguistics (ACL) | August 2015
  
  Publication Project Project
- Compact Lexicon Selection with Spectral Methods
  
  Young-Bum Kim, Ruhi Sarikaya
  
  Association for Computational Linguistics (ACL) | August 2015
  
  Publication Project Project
- Optimizing Non-decomposable Performance Measures: A Tale of Two Classes
  
  , Prateek Jain
  
  Proceedings of the 32nd International Conference on Machine Learning (ICML) | July 2015
  
  Publication
- Surrogate Functions for Maximizing Precision at the Top
  
  Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
  
  Proceedings of the 32nd International Conference on Machine Learning (ICML) | July 2015
  
  Publication
- Fast Exact Matrix Completion with Finite Samples
  
  Prateek Jain, Praneeth Netrapalli, Praneeth Netrapalli
  
  Proceedings of The 28th Conference on Learning Theory (COLT) | June 2015
  
  Publication Publication Project
- Tighter Low-rank Approximation via Sampling the Leveraged Element
  
  Prateek Jain, Srinadh Bhojanapalli, Sujay Sanghavi
  
  Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) | January 2015
  
  Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA)
  
  Publication Publication Project
- Fast algorithms for online stochastic convex programming
  
  Shipra Agrawal, Nikhil Devanur
  
  SODA 2015 (ACM-SIAM Symposium on Discrete Algorithms) | January 2015
  
  SODA 2015 (ACM-SIAM Symposium on Discrete Algorithms)
  
  Publication Project
- “ye word kis lang ka hai bhai?” Testing the Limits of Word level Language Identification
  
  Spandana Gella, Kalika Bali, Monojit Choudhury
  
  NLPAI | December 2014
  
  Publication Project
- Non-convex Robust PCA
  
  Praneeth Netrapalli, U N Niranjan, Sujay Sanghavi, Anima Anandkumar, Prateek Jain
  
  Advances in Neural Information Processing Systems | December 2014
  
  Publication Publication Project
- On Iterative Hard Thresholding Methods for High-dimensional M-Estimation
  
  Prateek Jain, Ambuj Tewari, Purushottam Kar
  
  Proceedings of the 28th Annual Conference on Neural Information Processing Systems (NIPS) | December 2014
  
  Publication
- Online and Stochastic Gradient Methods for Non-decomposable Loss Functions
  
  Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
  
  Proceedings of the 28th Annual Conference on Neural Information Processing Systems (NIPS) | December 2014
  
  Publication
- “I am borrowing ya mixing?” An Analysis of English-Hindi Code Mixing in Facebook
  
  Kalika Bali, Jatin Sharma, Monojit Choudhury, Yogarshi Vyas
  
  Proceedings of the First Workshop on Computational Approaches to Code Switching | October 2014
  
  Publication Project
- POS Tagging of English-Hindi Code-Mixed Social Media Content
  
  Yogarshi Vyas, Spandana Gella, Jatin Sharma, Kalika Bali, Monojit Choudhury
  
  Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2014
  
  Publication Project
- Active Learning for Sparse Bayesian Multilabel Classification
  
  Deepak Vasisht, Andreas Damianou, Manik Varma, Ashish Kapoor
  
  Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014
  
  Publication Publication
- Automatic Discovery of Adposition Typology
  
  Rishiraj Saha Roy, Rahul Katare, Niloy Ganguly, Monojit Choudhury
  
  Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers | August 2014
  
  Publication
- Active learning for sparse Bayesian multi-label classification
  
  Deepak Vasisht, Andreas Damianou, Manik Varma, Ashish Kapoor
  
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining, New York | August 2014
  
  Publication
- Discovering and understanding word level user intent in Web search queries
  
  Rishiraj Saha Roy, Rahul Katare, Niloy Ganguly, Srivatsan Laxman, Monojit Choudhury
  
  Web Semantics: Science, Services and Agents on the World Wide Web | Published by Elsevier | 2014 | Web Semantics: Science, Services and Agents on the World Wide Web edition
  
  Publication Publication
- FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning
  
  Yashoteja Prabhu, Manik Varma
  
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014
  
  Publication Publication Project
- Improving Unsupervised Query Segmentation using Parts-of-Speech Sequence Information
  
  Rishiraj Saha Roy, Yogarshi Vyas, Niloy Ganguly, Monojit Choudhury
  
  Proceedings of the 37th Annual ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR ’14) | July 2014
  
  Publication Publication
- Learning Mixtures of Discrete Product Distributions using Spectral Decompositions
  
  Prateek Jain, Sewoong Oh
  
  Proceedings of The 27th Conference on Learning Theory, COLT 2014, Barcelona, Spain, June 13-15, 2014 | July 2014
  
  Publication Publication
- Learning Sparsely Used Overcomplete Dictionaries
  
  Alekh Agarwal, Animashree Anandkumar, Prateek Jain, Praneeth Netrapalli, Rashish Tandon
  
  Proceedings of The 27th Conference on Learning Theory, COLT 2014, Barcelona, Spain, June 13-15, 2014 | July 2014
  
  Publication Publication Project
- Query Expansion for Mixed-Script Information Retrieval
  
  Rafael E. Banchs, Monojit Choudhury, Paolo Rosso, Parth Gupta, Kalika Bali
  
  July 2014
  
  Publication Publication Publication Project
- (Near) Dimension Independent Risk Bounds for Differentially Private Learning
  
  Prateek Jain, Abhradeep Guha Thakurta
  
  Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014 | June 2014
  
  Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014
  
  Publication Publication Publication
- Large-scale Multi-label Learning with Missing Labels
  
  Hsiang-Fu Yu, Prateek Jain, Purushottam Kar, Inderjit Dhillon
  
  Proceedings of the 31st International Conference on Machine Learning (ICML) | June 2014
  
  Proceedings of the 31st International Conference on Machine Learning (ICML)
  
  Publication
- On p-norm path following in multiple kernel learning for non-linear feature selection
  
  Pratik Jawanpuria, Manik Varma, J. Saketha Nath
  
  International Conference on Machine Learning | June 2014
  
  Publication Publication
- Understanding the Linguistic Structure and Evolution of Web Search Queries
  
  Rishiraj Saha Roy, M. Dastagiri Reddy, Niloy Ganguly, Monojit Choudhury
  
  April 2014
  
  Publication
- Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning
  
  Sudheendra Vijayanarasimhan, Prateek Jain, Kristen Grauman
  
  IEEE Trans. Pattern Anal. Mach. Intell. (PAMI) | January 2014
  
  Publication Publication
- Query word labeling and Back Transliteration for Indian Languages: Shared task system description
  
  Spandana Gella, Jatin Sharma, Kalika Bali
  
  Working Notes – Forum for Information Retrieval Evaluation (FIRE) 2013 Shared Task | December 2013
  
  Best Performing System at FIRE-2013
  
  Publication Project
- Automatically Identifying Vocal Expressions for Music Transcription
  
  Sai Sumanth Miryala, Ranjita Bhagwan, Monojit Choudhury, Kalika Bali
  
  2013 International Society of Music Information Retrieval | November 2013
  
  Publication
- Crowd Prefers the Middle Path: A New IAA Metric for Crowdsourcing Reveals Turker Biases in Query Segmentation
  
  Rohan Ramanath, Monojit Choudhury, Kalika Bali, Rishiaj Saha Roy
  
  Proceedings of ACL | July 2013
  
  Publication Publication
- Thompson Sampling For Contextual Bandits With Linear Payoffs
  
  Shipra Agrawal, Navin Goyal
  
  30th International Conference on Machine Learning (ICML) | June 2013
  
  Publication Project
- Multi-label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages
  
  Rahul Agrawal, Archit Gupta, Yashoteja Prabhu, Manik Varma
  
  Proceedings of the International World Wide Web Conference | May 2013
  
  Publication Project
- Multi-label learning with millions of labels: Recommending advertiser bid phrases for web pages
  
  R. Agrawal, A. Gupta, Y. Prabhu, M. Varma, Manik Varma
  
  Proceedings of the International World Wide Web Conference | May 2013
  
  Publication
- SPG-GMKL: Generalized Multiple Kernel Learning with a Million Kernels
  
  A. Jain, S. V. N. Vishwanathan, M. Varma, Manik Varma
  
  Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2012
  
  Publication
- Multiple Kernel Learning and the SMO Algorithm
  
  S. V. N. Vishwanathan, Z. Sun, N. Theera-Ampornpunt, M. Varma, Manik Varma
  
  Advances in Neural Information Processing Systems | December 2010
  
  Publication
- Efficient Max-Margin Multi-Label Classification with Applications to Zero-Shot Learning
  
  Bharath Hariharan, S.V. N. Vishwanathan, Manik Varma
  
  MSR-TR-2010-141 | October 2010
  
  Published by Microsoft
  
  Publication
- Large Scale Max-Margin Multi-Label Classification with Priors
  
  B. Hariharan, L. Zelnik-Manor, S. V. N. Vishwanathan, M. Varma, Manik Varma
  
  Proceedings of the International Conference on Machine Learning | June 2010
  
  Publication
- Multiple kernels for object detection
  
  Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew Zisserman
  
  International Conference on Computer Vision, Kyoto, Japan, | September 2009
  
  Publication
- More Generality in Efficient Multiple Kernel Learning
  
  Manik Varma, B. R. Babu
  
  Proceedings of the International Conference on Machine Learning | June 2009
  
  Publication
- Learning The Discriminative Power-Invariance Trade-Off
  
  M. Varma, D. Ray, Manik Varma
  
  Proceedings of the IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil | October 2007
  
  Publication
- Locally Invariant Fractal Features for Statistical Texture Classification
  
  Manik Varma, Rahul Garg
  
  Proceedings of the IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil | October 2007
  
  Publication
- Computer Aided Generation of Stylized Maps
  
  N. Adabala, M. Varma, K. Toyama, Kentaro Toyama, Manik Varma, Neeharika Adabala
  
  Computer Animation and Virtual Worlds | May 2007, Vol 18: pp. 133-140
  
  Publication

- Robust Root Cause Diagnosis using In-Distribution Interventions
  
  Lokesh Nagalapatti, Ashutosh Srivastava, Sunita Sarawagi, Amit Sharma
  
  2025 International Conference on Learning Representations | April 2025
  
  Publication Project
- Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference
  
  Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N Balasubramanian, Amit Sharma
  
  ICLR 2025 | April 2025
  
  Publication Project
- Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
  
  Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan
  
  Transactions on Machine Learning Research (TMLR) | August 2024
  
  Outstanding Certification Finalist
  
  Selected for presentation at ICLR 2025
  
  Publication Preprint Project
- MEGA: Multilingual Evaluation of Generative AI
  
  Kabir Ahuja, Harshita Diddee, Rishav Hada, Millicent Ochieng, Krithika Ramesh, Prachi Jain, Akshay Nambi, Tanuja Ganu, Sameer Segal, Mohamed Ahmed, Kalika Bali, Sunayana Sitaram
  
  EMNLP 2023 | October 2023
  
  Publication Github Project Project Project
- Deep encoders with auxiliary parameters for extreme classification
  
  Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma
  
  KDD 2023 | August 2023
  
  Publication
- Personalized retrieval over millions of items
  
  Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma
  
  In Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval | July 2023
  
  Publication
- Renee: End-to-end training of extreme classification models
  
  Vidit Jain, Jatin Prakash, Deepak Saini, Jian Jiao, Ramachandran Ramjee, Manik Varma
  
  In Proceedings of the Conference on Machine Learning and Systems, Miami, Florida | June 2023
  
  Publication Project
- NGAME: Negative mining-aware mini-batching for extreme classification
  
  K. Dahiya, N. Gupta, D. Saini (desaini), A. Soni, Y. Wang, K. Dave, J. Jiao, K. Gururaj, P. Dey, A. Singh, D. Hada, V. Jain, B. Paliwal, A. Mittal, S. Mehta, R. Ramjee, S. Agarwal, P. Kar, Manik Varma
  
  ACM International Conference on Web Search and Data Mining, Singapore | March 2023
  
  Publication
- Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
  
  Jivat Neet Kaur, Emre Kiciman, Amit Sharma
  
  International Conference on Learning Representations (ICLR) | January 2023
  
  Notable Top-25% of accepted papers
  
  Publication Project
- Matching Learned Causal Effects of Neural Networks with Domain Priors
  
  Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N Balasubramainan, Amit Sharma
  
  ICML 2022 | July 2022
  
  Publication Project
- Multimodal extreme classification
  
  Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma
  
  IEEE/CVF Conference on Computer Vision and Pattern Recognition | June 2022
  
  Publication
- LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems
  
  Anirudh Srinivasan, Gauri Kholkar, Rahul Kejriwal, Tanuja Ganu, Sandipan Dandapat, Sunayana Sitaram, Balakrishnan Santhanam, Somak Aditya, Kalika Bali, Monojit Choudhury
  
  Thirty-sixth AAAI Conference on Artificial Intelligence | February 2022
  
  System Demonstration
  
  Publication Video Github Project
- Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals
  
  Saloni Dash, Vineeth Balasubramanian, Amit Sharma
  
  Winter Conference on Applications of Computer Vision (WACV) | January 2022
  
  PDF Publication Project
- Generalized Zero-Shot Extreme Multi-label Learning
  
  Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma
  
  2021 Knowledge Discovery and Data Mining | August 2021
  
  DOI Publication Project
- SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels
  
  Kunal Dahiya, Ananye Agarwal, Deepak Saini, Gururaj K, Jian Jiao, Amit Singh, Sumeet Agarwal, Purushottam Kar, Manik Varma
  
  ICML 2021 | July 2021
  
  PDF
- Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization
  
  Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain
  
  2021 International Conference on Machine Learning | July 2021
  
  PDF Publication Project Project
- Domain Generalization using Causal Matching
  
  Divyat Mahajan, Shruti Tople, Amit Sharma
  
  International Conference on Machine Learning (ICML) | July 2021
  
  Publication Github Project Project
- Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs
  
  Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam
  
  Knowledge Discovery and Data Mining Workshop on Deep Learning on Graphs: Method and Applications (DLG-KDD) | June 2021
  
  Publication
- GalaXC: Graph neural networks with labelwise attention for extreme classification
  
  Deepak Saini, Arnav Kumar Jain, Kushal Dave, Jian Jiao, Amit Singh, Ruofei Zhang, Manik Varma
  
  ACM International World Wide Web Conference | April 2021
  
  PDF
- Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End
  
  Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma
  
  AAAI/ACM Conference on AI, Ethics, and Society (AIES) | April 2021
  
  PDF Publication Project Project
- DeepXML: A deep extreme multi-Label learning framework applied to short text documents
  
  Kunal Dahiya, Deepak Saini, Anshul Mittal, Kushal Dave, Himanshu Jain, Sumeet Agarwal, Manik Varma
  
  ACM International Conference on Web Search and Data Mining | March 2021
  
  Publication
- Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions
  
  Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
  
  ACM Intl. Conf. on Web Search and Data Mining (WSDM) | March 2021
  
  PDF Publication Publication Project
- The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
  
  Naman Goel, Alfonso Amayeulas, Amit Deshpande, Amit Sharma
  
  AAAI Conference on Artificial Intelligence (AAAI) | February 2021
  
  Publication PDF Project
- RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference
  
  Oindrila Saha, Venkata Aditya Kusupati, Harsha Simhadri, Manik Varma, Prateek Jain
  
  NeurIPS 2020 | November 2020
  
  Publication Project Project
- Extreme Regression for Dynamic Search Advertising
  
  Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma
  
  ACM International Conference on Web Search and Data Mining | February 2020
  
  Publication Project
- Explaining Machine Learning Classifiers through Diverse Counterfactual Examples
  
  Ramaravind K. Mothilal, Amit Sharma, Chenhao Tan
  
  ACM Conference on Fairness, Accountability, and Transparency | January 2020
  
  PDF Github Project Project
- GesturePod: Enabling on-device gesture-based interaction for white cane users
  
  Shishir G. Patil, Don Kurian Dennis, Chirag Pabbaraju, Nadeem Shaheer, Harsha Simhadri, Vivek Seshadri, Manik Varma, Prateek Jain
  
  ACM Symposium on User Interface Software and Technology | October 2019
  
  Publication
- One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification
  
  Dhrubojyoti Roy, S. Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, A. Arora
  
  ACM Transactions on Sensor Networks | September 2019
  
  DOI Publication Publication Project
- Learning Natural Programs from a Few Examples in Real-Time
  
  Nagarajan Natarajan, Danny Simmons, Naren Datha (narend), Prateek Jain, Sumit Gulwani
  
  AIStats | January 2019
  
  Publication Project
- FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network
  
  Aditya Kusupati, Manish Singh, Kush Bhatia, Ashish Kumar, Prateek Jain, Manik Varma
  
  NIPS 2018 | December 2018
  
  Publication Github Project Project
- Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising
  
  Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma
  
  ACM International WWW Conference | April 2018
  
  Publication
- Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation
  
  Yashoteja Prabhu, Anil Kag, Shilpa Gopinath, Kunal Dahiya, Shrutendra Harsola, Rahul Agrawal, Manik Varma
  
  ACM International Conference on Web Search and Data Mining | February 2018
  
  Publication Publication Project
- Active Heteroscedastic Regression
  
  Kamalika Chaudhuri, Prateek Jain, Nagarajan Natarajan
  
  2017 International Conference on Machine Learning | July 2017
  
  PDF
- Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things
  
  Ashish Kumar, Saurabh Goyal, Manik Varma
  
  ICML 2017 | May 2017
  
  PDF Project Project
- ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices
  
  Ankit Gupta, Chirag GuptaArun Sai Suggala, Ankit Gupta, Harsha Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain
  
  International Conference on Machine Learning, Sydney | February 2017
  
  Publication Project Project
- Regret Bounds for Non-decomposable Metrics with Missing Labels
  
  Nagarajan Natarajan, Prateek Jain
  
  2016 Neural Information Processing Systems | December 2016
  
  Publication Publication Publication Publication Publication
- Natural Language Model Re-usability for Scaling to Different Domains
  
  Young-Bum Kim, Alexandre Rochette , Ruhi Sarikaya
  
  Empirical Methods in Natural Language Processing (EMNLP) | November 2016
  
  Publication
- Understanding Language Preference for Expression of Opinion and Sentiment: What do Hindi-English Speakers do on Twitter?
  
  Koustav Rudra, Shruti Rijhwani, Rafiya Begum, Monojit Choudhury, Kalika Bali, Niloy Ganguly
  
  Proceedings of EMNLP 2016 | October 2016
  
  Publication Publication
- Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications.
  
  Himanshu Jain, Yashoteja Prabhu, Manik Varma
  
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2016
  
  Publication Project
- Scalable Semi-Supervised Query Classification Using Matrix Sketching
  
  Young-Bum Kim, Karl Stratos, Ruhi Sarikaya
  
  July 2016
  
  Publication Project
- Nearly-optimal Robust Matrix Completion
  
  Yeshwanth Cherapanamjeri, Kartik Gupta, Prateek Jain
  
  MSR-TR-2016-21 | July 2016
  
  Publication Publication Project
- Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja’s Algorithm
  
  Prateek Jain, Chi Jin, Sham Kakade, Praneeth Netrapalli, Aaron Sidford
  
  Proceedings of The 29th Conference on Learning Theory (COLT) | June 2016
  
  Proceedings of The 29th Conference on Learning Theory (COLT)
  
  Publication Publication Project
- Efficient and Consistent Robust Time Series Analysis
  
  Kush Bhatia, Prateek Jain, Purushottam Kar, Kamalaurben Parameswaran
  
  MSR-TR-2016-20 | June 2016
  
  Publication Publication Project
- Diverse Yet Efficient Retrieval using Hash Functions
  
  Vidyadhar Rao, Prateek Jain, C V Jawahar
  
  Proceedings of ACM International Conference in Multimedia Retrieval (ICMR) | June 2016
  
  Publication Publication
- Task Completion Platform: A self-serve multi-domain goal oriented dialogue platform
  
  Paul A. Crook, Alex Marin, V. Agarwal, K. Aggarwal, T. Anastasakos, R. Bikkula, D. Boies, Asli Celikyilmaz, S. Chandramohan, Z. Feizollahi, R. Holenstein, M. Jeong, Omar Zia Khan, Young-Bum Kim, E. Krawczyk, X. Liu, D. Panic, V. Radostev, N. Ramesh, J.-P. Robichaud, A. Rochette, L. Stromberg, Ruhi Sarikaya
  
  June 2016
  
  Publication Publication Project
- Structured Sparse Regression via Greedy Hard-Thresholding
  
  Prateek Jain, Nikhil Rao, Inderjit S. Dhillon
  
  Neural Information Processing Systems (NIPS) | May 2016
  
  Neural Information Processing Systems (NIPS)
  
  Publication Publication Project
- Tensor vs Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations
  
  Anima Anandkumar, Prateek Jain, Yang Shi, U N Niranjan
  
  Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS) | May 2016
  
  Publication Publication Project
- A Statistical Approach To Material Classification Using Image Patch Exemplars
  
  Manik Varma, Andrew Zisserman
  
  IEEE Transactions on Pattern Analysis and Machine Intelligence | January 2016
  
  Publication
- Alternating Minimization for Regression Problems with Vector-valued Outputs
  
  Prateek Jain, Ambuj Tewari
  
  Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS) | December 2015
  
  Publication Project
- Predtron: A Family of Online Algorithms for General Prediction Problems
  
  Prateek Jain, Nagarajan Natarajan, Ambuj Tewari
  
  Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS) | December 2015
  
  Publication
- Sparse Local Embeddings for Extreme Multi-label Classification
  
  Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, Prateek Jain
  
  Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS) | December 2015
  
  Publication Publication
- Robust Regression via Hard Thresholding
  
  Kush Bhatia, Prateek Jain, Purushottam Kar
  
  Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS) | December 2015
  
  Publication Publication Project
- Efficient Matrix Sensing Using Rank-1 Gaussian Measurements
  
  Kai Zhong, Prateek Jain, Inderjit S. Dhillon
  
  Proceedings of 26th International Conference on Algorithmic Learning Theory (ALT) | October 2015
  
  Publication Project
- New Transfer Learning Techniques For Disparate Label Sets
  
  Young-Bum Kim, Karl Stratos, Ruhi Sarikaya, Minwoo Jeong
  
  Association for Computational Linguistics (ACL) | August 2015
  
  Publication Project Project
- Compact Lexicon Selection with Spectral Methods
  
  Young-Bum Kim, Ruhi Sarikaya
  
  Association for Computational Linguistics (ACL) | August 2015
  
  Publication Project Project
- Surrogate Functions for Maximizing Precision at the Top
  
  Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
  
  Proceedings of the 32nd International Conference on Machine Learning (ICML) | July 2015
  
  Publication
- Optimizing Non-decomposable Performance Measures: A Tale of Two Classes
  
  , Prateek Jain
  
  Proceedings of the 32nd International Conference on Machine Learning (ICML) | July 2015
  
  Publication
- Fast Exact Matrix Completion with Finite Samples
  
  Prateek Jain, Praneeth Netrapalli, Praneeth Netrapalli
  
  Proceedings of The 28th Conference on Learning Theory (COLT) | June 2015
  
  Publication Publication Project
- Tighter Low-rank Approximation via Sampling the Leveraged Element
  
  Prateek Jain, Srinadh Bhojanapalli, Sujay Sanghavi
  
  Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) | January 2015
  
  Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA)
  
  Publication Publication Project
- Fast algorithms for online stochastic convex programming
  
  Shipra Agrawal, Nikhil Devanur
  
  SODA 2015 (ACM-SIAM Symposium on Discrete Algorithms) | January 2015
  
  SODA 2015 (ACM-SIAM Symposium on Discrete Algorithms)
  
  Publication Project
- Online and Stochastic Gradient Methods for Non-decomposable Loss Functions
  
  Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
  
  Proceedings of the 28th Annual Conference on Neural Information Processing Systems (NIPS) | December 2014
  
  Publication
- On Iterative Hard Thresholding Methods for High-dimensional M-Estimation
  
  Prateek Jain, Ambuj Tewari, Purushottam Kar
  
  Proceedings of the 28th Annual Conference on Neural Information Processing Systems (NIPS) | December 2014
  
  Publication
- Non-convex Robust PCA
  
  Praneeth Netrapalli, U N Niranjan, Sujay Sanghavi, Anima Anandkumar, Prateek Jain
  
  Advances in Neural Information Processing Systems | December 2014
  
  Publication Publication Project
- “I am borrowing ya mixing?” An Analysis of English-Hindi Code Mixing in Facebook
  
  Kalika Bali, Jatin Sharma, Monojit Choudhury, Yogarshi Vyas
  
  Proceedings of the First Workshop on Computational Approaches to Code Switching | October 2014
  
  Publication Project
- Active Learning for Sparse Bayesian Multilabel Classification
  
  Deepak Vasisht, Andreas Damianou, Manik Varma, Ashish Kapoor
  
  Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014
  
  Publication Publication
- Active learning for sparse Bayesian multi-label classification
  
  Deepak Vasisht, Andreas Damianou, Manik Varma, Ashish Kapoor
  
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining, New York | August 2014
  
  Publication
- FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning
  
  Yashoteja Prabhu, Manik Varma
  
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014
  
  Publication Publication Project
- Learning Sparsely Used Overcomplete Dictionaries
  
  Alekh Agarwal, Animashree Anandkumar, Prateek Jain, Praneeth Netrapalli, Rashish Tandon
  
  Proceedings of The 27th Conference on Learning Theory, COLT 2014, Barcelona, Spain, June 13-15, 2014 | July 2014
  
  Publication Publication Project
- Learning Mixtures of Discrete Product Distributions using Spectral Decompositions
  
  Prateek Jain, Sewoong Oh
  
  Proceedings of The 27th Conference on Learning Theory, COLT 2014, Barcelona, Spain, June 13-15, 2014 | July 2014
  
  Publication Publication
- Large-scale Multi-label Learning with Missing Labels
  
  Hsiang-Fu Yu, Prateek Jain, Purushottam Kar, Inderjit Dhillon
  
  Proceedings of the 31st International Conference on Machine Learning (ICML) | June 2014
  
  Proceedings of the 31st International Conference on Machine Learning (ICML)
  
  Publication
- (Near) Dimension Independent Risk Bounds for Differentially Private Learning
  
  Prateek Jain, Abhradeep Guha Thakurta
  
  Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014 | June 2014
  
  Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014
  
  Publication Publication Publication
- On p-norm path following in multiple kernel learning for non-linear feature selection
  
  Pratik Jawanpuria, Manik Varma, J. Saketha Nath
  
  International Conference on Machine Learning | June 2014
  
  Publication Publication
- Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning
  
  Sudheendra Vijayanarasimhan, Prateek Jain, Kristen Grauman
  
  IEEE Trans. Pattern Anal. Mach. Intell. (PAMI) | January 2014
  
  Publication Publication
- Query word labeling and Back Transliteration for Indian Languages: Shared task system description
  
  Spandana Gella, Jatin Sharma, Kalika Bali
  
  Working Notes – Forum for Information Retrieval Evaluation (FIRE) 2013 Shared Task | December 2013
  
  Best Performing System at FIRE-2013
  
  Publication Project
- Automatically Identifying Vocal Expressions for Music Transcription
  
  Sai Sumanth Miryala, Ranjita Bhagwan, Monojit Choudhury, Kalika Bali
  
  2013 International Society of Music Information Retrieval | November 2013
  
  Publication
- Thompson Sampling For Contextual Bandits With Linear Payoffs
  
  Shipra Agrawal, Navin Goyal
  
  30th International Conference on Machine Learning (ICML) | June 2013
  
  Publication Project
- Multi-label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages
  
  Rahul Agrawal, Archit Gupta, Yashoteja Prabhu, Manik Varma
  
  Proceedings of the International World Wide Web Conference | May 2013
  
  Publication Project
- Multi-label learning with millions of labels: Recommending advertiser bid phrases for web pages
  
  R. Agrawal, A. Gupta, Y. Prabhu, M. Varma, Manik Varma
  
  Proceedings of the International World Wide Web Conference | May 2013
  
  Publication
- SPG-GMKL: Generalized Multiple Kernel Learning with a Million Kernels
  
  A. Jain, S. V. N. Vishwanathan, M. Varma, Manik Varma
  
  Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2012
  
  Publication
- Multiple Kernel Learning and the SMO Algorithm
  
  S. V. N. Vishwanathan, Z. Sun, N. Theera-Ampornpunt, M. Varma, Manik Varma
  
  Advances in Neural Information Processing Systems | December 2010
  
  Publication
- Large Scale Max-Margin Multi-Label Classification with Priors
  
  B. Hariharan, L. Zelnik-Manor, S. V. N. Vishwanathan, M. Varma, Manik Varma
  
  Proceedings of the International Conference on Machine Learning | June 2010
  
  Publication
- Multiple kernels for object detection
  
  Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew Zisserman
  
  International Conference on Computer Vision, Kyoto, Japan, | September 2009
  
  Publication
- More Generality in Efficient Multiple Kernel Learning
  
  Manik Varma, B. R. Babu
  
  Proceedings of the International Conference on Machine Learning | June 2009
  
  Publication
- Locally Invariant Fractal Features for Statistical Texture Classification
  
  Manik Varma, Rahul Garg
  
  Proceedings of the IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil | October 2007
  
  Publication
- Learning The Discriminative Power-Invariance Trade-Off
  
  M. Varma, D. Ray, Manik Varma
  
  Proceedings of the IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil | October 2007
  
  Publication
- Deep encoders with auxiliary parameters for extreme classification
  
  Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma
  
  KDD 2023 | August 2023
  
  Publication
- Personalized retrieval over millions of items
  
  Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma
  
  In Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval | July 2023
  
  Publication
- Renee: End-to-end training of extreme classification models
  
  Vidit Jain, Jatin Prakash, Deepak Saini, Jian Jiao, Ramachandran Ramjee, Manik Varma
  
  In Proceedings of the Conference on Machine Learning and Systems, Miami, Florida | June 2023
  
  Publication Project
- NGAME: Negative mining-aware mini-batching for extreme classification
  
  K. Dahiya, N. Gupta, D. Saini (desaini), A. Soni, Y. Wang, K. Dave, J. Jiao, K. Gururaj, P. Dey, A. Singh, D. Hada, V. Jain, B. Paliwal, A. Mittal, S. Mehta, R. Ramjee, S. Agarwal, P. Kar, Manik Varma
  
  ACM International Conference on Web Search and Data Mining, Singapore | March 2023
  
  Publication
- Multimodal extreme classification
  
  Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma
  
  IEEE/CVF Conference on Computer Vision and Pattern Recognition | June 2022
  
  Publication
- Generalized Zero-Shot Extreme Multi-label Learning
  
  Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma
  
  2021 Knowledge Discovery and Data Mining | August 2021
  
  DOI Publication Project
- Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization
  
  Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain
  
  2021 International Conference on Machine Learning | July 2021
  
  PDF Publication Project Project
- Domain Generalization using Causal Matching
  
  Divyat Mahajan, Shruti Tople, Amit Sharma
  
  International Conference on Machine Learning (ICML) | July 2021
  
  Publication Github Project Project
- ECLARE: Extreme classification with label graph correlations
  
  Anshul Miital, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma
  
  ACM International WWW Conference | April 2021
  
  Publication
- DECAF: Deep extreme classification with label features
  
  Anshul Mittal , Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma
  
  ACM International Conference on Web Search and Data Mining | March 2021
  
  Publication
- DeepXML: A deep extreme multi-Label learning framework applied to short text documents
  
  Kunal Dahiya, Deepak Saini, Anshul Mittal, Kushal Dave, Himanshu Jain, Sumeet Agarwal, Manik Varma
  
  ACM International Conference on Web Search and Data Mining | March 2021
  
  Publication
- Extreme Regression for Dynamic Search Advertising
  
  Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma
  
  ACM International Conference on Web Search and Data Mining | February 2020
  
  Publication Project
- GesturePod: Enabling on-device gesture-based interaction for white cane users
  
  Shishir G. Patil, Don Kurian Dennis, Chirag Pabbaraju, Nadeem Shaheer, Harsha Simhadri, Vivek Seshadri, Manik Varma, Prateek Jain
  
  ACM Symposium on User Interface Software and Technology | October 2019
  
  Publication
- One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification
  
  Dhrubojyoti Roy, S. Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, A. Arora
  
  ACM Transactions on Sensor Networks | September 2019
  
  DOI Publication Publication Project
- Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising
  
  Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma
  
  ACM International WWW Conference | April 2018
  
  Publication
- Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications.
  
  Himanshu Jain, Yashoteja Prabhu, Manik Varma
  
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2016
  
  Publication Project
- Nearly-optimal Robust Matrix Completion
  
  Yeshwanth Cherapanamjeri, Kartik Gupta, Prateek Jain
  
  MSR-TR-2016-21 | July 2016
  
  Publication Publication Project
- Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja’s Algorithm
  
  Prateek Jain, Chi Jin, Sham Kakade, Praneeth Netrapalli, Aaron Sidford
  
  Proceedings of The 29th Conference on Learning Theory (COLT) | June 2016
  
  Proceedings of The 29th Conference on Learning Theory (COLT)
  
  Publication Publication Project
- Efficient and Consistent Robust Time Series Analysis
  
  Kush Bhatia, Prateek Jain, Purushottam Kar, Kamalaurben Parameswaran
  
  MSR-TR-2016-20 | June 2016
  
  Publication Publication Project
- Tensor vs Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations
  
  Anima Anandkumar, Prateek Jain, Yang Shi, U N Niranjan
  
  Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS) | May 2016
  
  Publication Publication Project
- Alternating Minimization for Regression Problems with Vector-valued Outputs
  
  Prateek Jain, Ambuj Tewari
  
  Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS) | December 2015
  
  Publication Project
- Predtron: A Family of Online Algorithms for General Prediction Problems
  
  Prateek Jain, Nagarajan Natarajan, Ambuj Tewari
  
  Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS) | December 2015
  
  Publication
- Robust Regression via Hard Thresholding
  
  Kush Bhatia, Prateek Jain, Purushottam Kar
  
  Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS) | December 2015
  
  Publication Publication Project
- New Transfer Learning Techniques For Disparate Label Sets
  
  Young-Bum Kim, Karl Stratos, Ruhi Sarikaya, Minwoo Jeong
  
  Association for Computational Linguistics (ACL) | August 2015
  
  Publication Project Project
- Compact Lexicon Selection with Spectral Methods
  
  Young-Bum Kim, Ruhi Sarikaya
  
  Association for Computational Linguistics (ACL) | August 2015
  
  Publication Project Project
- Fast Exact Matrix Completion with Finite Samples
  
  Prateek Jain, Praneeth Netrapalli, Praneeth Netrapalli
  
  Proceedings of The 28th Conference on Learning Theory (COLT) | June 2015
  
  Publication Publication Project
- Tighter Low-rank Approximation via Sampling the Leveraged Element
  
  Prateek Jain, Srinadh Bhojanapalli, Sujay Sanghavi
  
  Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) | January 2015
  
  Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA)
  
  Publication Publication Project
- Fast algorithms for online stochastic convex programming
  
  Shipra Agrawal, Nikhil Devanur
  
  SODA 2015 (ACM-SIAM Symposium on Discrete Algorithms) | January 2015
  
  SODA 2015 (ACM-SIAM Symposium on Discrete Algorithms)
  
  Publication Project
- Online and Stochastic Gradient Methods for Non-decomposable Loss Functions
  
  Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
  
  Proceedings of the 28th Annual Conference on Neural Information Processing Systems (NIPS) | December 2014
  
  Publication
- On Iterative Hard Thresholding Methods for High-dimensional M-Estimation
  
  Prateek Jain, Ambuj Tewari, Purushottam Kar
  
  Proceedings of the 28th Annual Conference on Neural Information Processing Systems (NIPS) | December 2014
  
  Publication
- Non-convex Robust PCA
  
  Praneeth Netrapalli, U N Niranjan, Sujay Sanghavi, Anima Anandkumar, Prateek Jain
  
  Advances in Neural Information Processing Systems | December 2014
  
  Publication Publication Project
- Active learning for sparse Bayesian multi-label classification
  
  Deepak Vasisht, Andreas Damianou, Manik Varma, Ashish Kapoor
  
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining, New York | August 2014
  
  Publication
- Learning Sparsely Used Overcomplete Dictionaries
  
  Alekh Agarwal, Animashree Anandkumar, Prateek Jain, Praneeth Netrapalli, Rashish Tandon
  
  Proceedings of The 27th Conference on Learning Theory, COLT 2014, Barcelona, Spain, June 13-15, 2014 | July 2014
  
  Publication Publication Project
- Learning Mixtures of Discrete Product Distributions using Spectral Decompositions
  
  Prateek Jain, Sewoong Oh
  
  Proceedings of The 27th Conference on Learning Theory, COLT 2014, Barcelona, Spain, June 13-15, 2014 | July 2014
  
  Publication Publication
- (Near) Dimension Independent Risk Bounds for Differentially Private Learning
  
  Prateek Jain, Abhradeep Guha Thakurta
  
  Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014 | June 2014
  
  Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014
  
  Publication Publication Publication
- Thompson Sampling For Contextual Bandits With Linear Payoffs
  
  Shipra Agrawal, Navin Goyal
  
  30th International Conference on Machine Learning (ICML) | June 2013
  
  Publication Project
- Multi-label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages
  
  Rahul Agrawal, Archit Gupta, Yashoteja Prabhu, Manik Varma
  
  Proceedings of the International World Wide Web Conference | May 2013
  
  Publication Project
- Multi-label learning with millions of labels: Recommending advertiser bid phrases for web pages
  
  R. Agrawal, A. Gupta, Y. Prabhu, M. Varma, Manik Varma
  
  Proceedings of the International World Wide Web Conference | May 2013
  
  Publication
- Efficient Max-Margin Multi-Label Classification with Applications to Zero-Shot Learning
  
  Bharath Hariharan, S.V. N. Vishwanathan, Manik Varma
  
  MSR-TR-2010-141 | October 2010
  
  Published by Microsoft
  
  Publication
- Large Scale Max-Margin Multi-Label Classification with Priors
  
  B. Hariharan, L. Zelnik-Manor, S. V. N. Vishwanathan, M. Varma, Manik Varma
  
  Proceedings of the International Conference on Machine Learning | June 2010
  
  Publication
- Deep encoders with auxiliary parameters for extreme classification
  
  Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma
  
  KDD 2023 | August 2023
  
  Publication
- Personalized retrieval over millions of items
  
  Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma
  
  In Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval | July 2023
  
  Publication
- Slice: Scalable Linear Extreme Classifiers trained on 100 Million Labels for Related Searches
  
  Himanshu Jain, Venkatesh Balasubramanian, Bhanu Chunduri, Manik Varma
  
  WSDM ’19 | February 2019
  
  Best Paper Award
  
  PDF
- Overview of the Mixed Script Information Retrieval (MSIR)
  
  Somnath banerjee, Kunal Chakma, Sudip Kumar Naskar, Amitava Das, Paolo Rosso, Sivaji Bandyopadhyay, Monojit Choudhury
  
  Proceedings of FIRE 2016 | December 2016
  
  Publication
- Syntactic Complexity of Web Search Queries through the Lenses of Language Models, Networks and Users
  
  Rishiraj Saha Roy, Smith Agarwal, Niloy Ganguly, Monojit Choudhury
  
  Information Processing & Management | September 2016, pp. 923-948
  
  Publication Publication
- New Transfer Learning Techniques For Disparate Label Sets
  
  Young-Bum Kim, Karl Stratos, Ruhi Sarikaya, Minwoo Jeong
  
  Association for Computational Linguistics (ACL) | August 2015
  
  Publication Project Project
- Discovering and understanding word level user intent in Web search queries
  
  Rishiraj Saha Roy, Rahul Katare, Niloy Ganguly, Srivatsan Laxman, Monojit Choudhury
  
  Web Semantics: Science, Services and Agents on the World Wide Web | Published by Elsevier | 2014 | Web Semantics: Science, Services and Agents on the World Wide Web edition
  
  Publication Publication
- Query Expansion for Mixed-Script Information Retrieval
  
  Rafael E. Banchs, Monojit Choudhury, Paolo Rosso, Parth Gupta, Kalika Bali
  
  July 2014
  
  Publication Publication Publication Project
- Improving Unsupervised Query Segmentation using Parts-of-Speech Sequence Information
  
  Rishiraj Saha Roy, Yogarshi Vyas, Niloy Ganguly, Monojit Choudhury
  
  Proceedings of the 37th Annual ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR ’14) | July 2014
  
  Publication Publication
- MEGA: Multilingual Evaluation of Generative AI
  
  Kabir Ahuja, Harshita Diddee, Rishav Hada, Millicent Ochieng, Krithika Ramesh, Prachi Jain, Akshay Nambi, Tanuja Ganu, Sameer Segal, Mohamed Ahmed, Kalika Bali, Sunayana Sitaram
  
  EMNLP 2023 | October 2023
  
  Publication Github Project Project Project
- ACL 2023 Multilingual Models Tutorial Slides
  
  Kalika Bali, Monojit Choudhury, Sunayana Sitaram, Barun Patra, Vishrav Chaudhary, Kabir Ahuja
  
  July 2023
  
  Publication Project
- On Evaluating and Mitigating Gender Biases in Multilingual Settings
  
  Aniket Vashishtha, Kabir Ahuja, Sunayana Sitaram
  
  ACL 2023 | July 2023
  
  Publication Project
- A Comparative Study on the Impact of Model Compression Techniques on Fairness in Language Models
  
  Krithika Ramesh, Arnav Chavan, Shrey Pandit, Sunayana Sitaram
  
  ACL 2023 | July 2023
  
  Publication Project
- LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems
  
  Anirudh Srinivasan, Gauri Kholkar, Rahul Kejriwal, Tanuja Ganu, Sandipan Dandapat, Sunayana Sitaram, Balakrishnan Santhanam, Somak Aditya, Kalika Bali, Monojit Choudhury
  
  Thirty-sixth AAAI Conference on Artificial Intelligence | February 2022
  
  System Demonstration
  
  Publication Video Github Project
- A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies
  
  A. Seza Doğruöz, Sunayana Sitaram, Barbara E. Bullock, Almeida Jacqueline Toribio
  
  2021 Meeting of the Association for Computational Linguistics | August 2021
  
  DOI PDF Publication Publication Publication Publication Publication Project
- GCM: A Toolkit for Generating Synthetic Code-mixed Text
  
  Mohd Sanad Zaki Rizvi, Anirudh Srinivasan, Tanuja Ganu, Monojit Choudhury, Sunayana Sitaram
  
  2021 Conference of the European Chapter of the Association for Computational Linguistics | April 2021
  
  DOI Publication Publication Project
- A Case Study of Efficacy and Challenges in Practical Human-in-Loop Evaluation of NLP Systems Using Checklist
  
  Shaily Bhatt, Rahul Jain, Sandipan Dandapat, Sunayana Sitaram
  
  Workshop on Human Evaluation of NLP Systems | April 2021
  
  Publication Project
- Do Multilingual Users Prefer Chat-bots that Code-mix? Let’s Nudge and Find Out!
  
  Anshul Bawa, Pranav Khadpe, Pratik Joshi, Kalika Bali, Monojit Choudhury
  
  Proceedings of the ACM on Human-Computer Interaction | May 2020, Vol 41(CSCW1): pp. 1-23
  
  DOI Project
- Word Embeddings for Code-Mixed Language Processing
  
  Adithya Pratapa, Monojit Choudhury, Sunayana Sitaram
  
  Empirical Methods in Natural Language Processing (EMNLP) | November 2018
  
  Publication Project
- Homophone Identification and Merging for Code-switched Speech Recognition
  
  Brij Mohan Lal Srivastava, Sunayana Sitaram
  
  Interspeech 2018 | September 2018
  
  Publication Project
- Automatic Detection of Code-switching Style from Acoustics
  
  SaiKrishna Rallabandi, Sunayana Sitaram, Alan W Black
  
  Workshop on Computational Approaches to Linguistic Code Switching, 2018 | July 2018
  
  Publication Project
- Phone Merging For Code-switched Speech Recognition
  
  Sunit Sivasankaran, Brij Mohan Lal Srivastava, Sunayana Sitaram, Kalika Bali, Monojit Choudhury
  
  Workshop on Computational Approaches to Linguistic Code Switching, 2018 | July 2018
  
  Publication Project
- Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data
  
  Adithya Pratapa, Gayatri Bhat, Monojit Choudhury, Sunayana Sitaram, Sandipan Dandapat, Kalika Bali
  
  Proceedings of ACL 2018 | July 2018
  
  Publication Project
- Accommodation of Conversational Code-Choice
  
  Anshul Bawa, Monojit Choudhury, Kalika Bali
  
  The Third Workshop on Computational Approaches to Code-Switching | July 2018
  
  Publication Project
- An Integrated Representation of Linguistic and Social Functions of Code-Switching
  
  Silvana Hartmann, Monojit Choudhury, Kalika Bali
  
  Proceedings of LREC 2018 | May 2018
  
  Publication Publication Project
- Discovering Canonical Indian English Accents: A Crowdsourcing-based Approach
  
  Sunayana Sitaram, Varun Manjunath, Varun Bharadwaj, Monojit Choudhury, Kalika Bali, Michael Tjalve
  
  LREC 2018 | May 2018
  
  Publication
- Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising
  
  Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma
  
  ACM International WWW Conference | April 2018
  
  Publication
- Curriculum Design for Code-switching: Experiments with Language Identification and Language Modeling with Deep Neural Networks
  
  Ashutosh Baheti, Sunayana Sitaram, Monojit Choudhury, Kalika Bali
  
  ICON 2017 | December 2017
  
  Publication Project
- All that is English may be Hindi: Enhancing Language Identification through Automatic Ranking of Likeliness of Word Borrowing in Social Media
  
  Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Abhipsha Basu, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee
  
  Proc of EMNLP 2017 | September 2017
  
  Publication Project
- Speech Synthesis for Mixed-Language Navigation Instructions
  
  Khythiraghavi Chandu, Sai Krishna Rallabandi, Sunayana Sitaram, Alan W Black
  
  Interspeech 2017 | August 2017
  
  Publication Project
- Estimating Code-Switching on Twitter with a Novel Generalized Word-Level Language Detection Technique
  
  Shruti Rijhwani, Royal Sequiera, Monojit Choudhury, Kalika Bali, Chandra Maddila
  
  Proc. of ACL 2017 | July 2017
  
  Publication Project
- I may talk in English but gaali toh Hindi mein hi denge: A study of English-Hindi Code-Switching and Swearing Pattern on Social Networks
  
  Jeenu Grover, Prabhat Agarwal, Ashish Sharma, Mayank Sikka, Koustav Rudra, Monojit Choudhury
  
  January 2017
  
  Proceedings of the Social Networking Workshop, COMSNETS 2017
  
  Publication
- Overview of the Mixed Script Information Retrieval (MSIR)
  
  Somnath banerjee, Kunal Chakma, Sudip Kumar Naskar, Amitava Das, Paolo Rosso, Sivaji Bandyopadhyay, Monojit Choudhury
  
  Proceedings of FIRE 2016 | December 2016
  
  Publication
- Natural Language Model Re-usability for Scaling to Different Domains
  
  Young-Bum Kim, Alexandre Rochette , Ruhi Sarikaya
  
  Empirical Methods in Natural Language Processing (EMNLP) | November 2016
  
  Publication
- Understanding Language Preference for Expression of Opinion and Sentiment: What do Hindi-English Speakers do on Twitter?
  
  Koustav Rudra, Shruti Rijhwani, Rafiya Begum, Monojit Choudhury, Kalika Bali, Niloy Ganguly
  
  Proceedings of EMNLP 2016 | October 2016
  
  Publication Publication
- Experiments with Cross-lingual Systems for Synthesis of Code-Mixed Text
  
  Sunayana Sitaram, Sai Krishna Rallabandi, Shruti Rijhwani, Alan W Black
  
  Speech Synthesis Workshop 9 | September 2016
  
  Publication
- Experiments with Cross-lingual Systems for Synthesis of Code-Mixed Text
  
  Sunayana Sitaram, Sai Krishna Rallabandi, Shruti Rijhwani, Alan W Black
  
  Speech Synthesis Workshop 8 | August 2016
  
  Publication Project
- Scalable Semi-Supervised Query Classification Using Matrix Sketching
  
  Young-Bum Kim, Karl Stratos, Ruhi Sarikaya
  
  July 2016
  
  Publication Project
- POS Tagging of Hindi-English Code Mixed Text from Social Media: Some Machine Learning Experiments
  
  Royal Sequiera, Monojit Choudhury, Kalika Bali
  
  2015 Proceedings of International Conference on NLP | December 2015
  
  Publication Publication Project
- New Transfer Learning Techniques For Disparate Label Sets
  
  Young-Bum Kim, Karl Stratos, Ruhi Sarikaya, Minwoo Jeong
  
  Association for Computational Linguistics (ACL) | August 2015
  
  Publication Project Project
- Compact Lexicon Selection with Spectral Methods
  
  Young-Bum Kim, Ruhi Sarikaya
  
  Association for Computational Linguistics (ACL) | August 2015
  
  Publication Project Project
- “ye word kis lang ka hai bhai?” Testing the Limits of Word level Language Identification
  
  Spandana Gella, Kalika Bali, Monojit Choudhury
  
  NLPAI | December 2014
  
  Publication Project
- “I am borrowing ya mixing?” An Analysis of English-Hindi Code Mixing in Facebook
  
  Kalika Bali, Jatin Sharma, Monojit Choudhury, Yogarshi Vyas
  
  Proceedings of the First Workshop on Computational Approaches to Code Switching | October 2014
  
  Publication Project
- POS Tagging of English-Hindi Code-Mixed Social Media Content
  
  Yogarshi Vyas, Spandana Gella, Jatin Sharma, Kalika Bali, Monojit Choudhury
  
  Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2014
  
  Publication Project
- Automatic Discovery of Adposition Typology
  
  Rishiraj Saha Roy, Rahul Katare, Niloy Ganguly, Monojit Choudhury
  
  Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers | August 2014
  
  Publication
- Improving Unsupervised Query Segmentation using Parts-of-Speech Sequence Information
  
  Rishiraj Saha Roy, Yogarshi Vyas, Niloy Ganguly, Monojit Choudhury
  
  Proceedings of the 37th Annual ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR ’14) | July 2014
  
  Publication Publication
- Understanding the Linguistic Structure and Evolution of Web Search Queries
  
  Rishiraj Saha Roy, M. Dastagiri Reddy, Niloy Ganguly, Monojit Choudhury
  
  April 2014
  
  Publication
- Query word labeling and Back Transliteration for Indian Languages: Shared task system description
  
  Spandana Gella, Jatin Sharma, Kalika Bali
  
  Working Notes – Forum for Information Retrieval Evaluation (FIRE) 2013 Shared Task | December 2013
  
  Best Performing System at FIRE-2013
  
  Publication Project
- Crowd Prefers the Middle Path: A New IAA Metric for Crowdsourcing Reveals Turker Biases in Query Segmentation
  
  Rohan Ramanath, Monojit Choudhury, Kalika Bali, Rishiaj Saha Roy
  
  Proceedings of ACL | July 2013
  
  Publication Publication
- Do Multilingual Users Prefer Chat-bots that Code-mix? Let’s Nudge and Find Out!
  
  Anshul Bawa, Pranav Khadpe, Pratik Joshi, Kalika Bali, Monojit Choudhury
  
  Proceedings of the ACM on Human-Computer Interaction | May 2020, Vol 41(CSCW1): pp. 1-23
  
  DOI Project
- RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference
  
  Oindrila Saha, Venkata Aditya Kusupati, Harsha Simhadri, Manik Varma, Prateek Jain
  
  NeurIPS 2020 | November 2020
  
  Publication Project Project
- Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising
  
  Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma
  
  ACM International WWW Conference | April 2018
  
  Publication
- FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning
  
  Yashoteja Prabhu, Manik Varma
  
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014
  
  Publication Publication Project
- Learning Natural Programs from a Few Examples in Real-Time
  
  Nagarajan Natarajan, Danny Simmons, Naren Datha (narend), Prateek Jain, Sumit Gulwani
  
  AIStats | January 2019
  
  Publication Project
- A Statistical Approach To Material Classification Using Image Patch Exemplars
  
  Manik Varma, Andrew Zisserman
  
  IEEE Transactions on Pattern Analysis and Machine Intelligence | January 2016
  
  Publication
- Locally Invariant Fractal Features for Statistical Texture Classification
  
  Manik Varma, Rahul Garg
  
  Proceedings of the IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil | October 2007
  
  Publication
- All that is English may be Hindi: Enhancing Language Identification through Automatic Ranking of Likeliness of Word Borrowing in Social Media
  
  Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Abhipsha Basu, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee
  
  Proc of EMNLP 2017 | September 2017
  
  Publication Project
- Estimating Code-Switching on Twitter with a Novel Generalized Word-Level Language Detection Technique
  
  Shruti Rijhwani, Royal Sequiera, Monojit Choudhury, Kalika Bali, Chandra Maddila
  
  Proc. of ACL 2017 | July 2017
  
  Publication Project
- I may talk in English but gaali toh Hindi mein hi denge: A study of English-Hindi Code-Switching and Swearing Pattern on Social Networks
  
  Jeenu Grover, Prabhat Agarwal, Ashish Sharma, Mayank Sikka, Koustav Rudra, Monojit Choudhury
  
  January 2017
  
  Proceedings of the Social Networking Workshop, COMSNETS 2017
  
  Publication
- Understanding Language Preference for Expression of Opinion and Sentiment: What do Hindi-English Speakers do on Twitter?
  
  Koustav Rudra, Shruti Rijhwani, Rafiya Begum, Monojit Choudhury, Kalika Bali, Niloy Ganguly
  
  Proceedings of EMNLP 2016 | October 2016
  
  Publication Publication
- New Transfer Learning Techniques For Disparate Label Sets
  
  Young-Bum Kim, Karl Stratos, Ruhi Sarikaya, Minwoo Jeong
  
  Association for Computational Linguistics (ACL) | August 2015
  
  Publication Project Project
- Compact Lexicon Selection with Spectral Methods
  
  Young-Bum Kim, Ruhi Sarikaya
  
  Association for Computational Linguistics (ACL) | August 2015
  
  Publication Project Project
- Learning The Discriminative Power-Invariance Trade-Off
  
  M. Varma, D. Ray, Manik Varma
  
  Proceedings of the IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil | October 2007
  
  Publication
- Computer Aided Generation of Stylized Maps
  
  N. Adabala, M. Varma, K. Toyama, Kentaro Toyama, Manik Varma, Neeharika Adabala
  
  Computer Animation and Virtual Worlds | May 2007, Vol 18: pp. 133-140
  
  Publication

- Robust Root Cause Diagnosis using In-Distribution Interventions
  
  Lokesh Nagalapatti, Ashutosh Srivastava, Sunita Sarawagi, Amit Sharma
  
  2025 International Conference on Learning Representations | April 2025
  
  Publication Project
- Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference
  
  Aniket Vashishtha, Abbavaram Gowtham Reddy, Abhinav Kumar, Saketh Bachu, Vineeth N Balasubramanian, Amit Sharma
  
  ICLR 2025 | April 2025
  
  Publication Project
- MEGA: Multilingual Evaluation of Generative AI
  
  Kabir Ahuja, Harshita Diddee, Rishav Hada, Millicent Ochieng, Krithika Ramesh, Prachi Jain, Akshay Nambi, Tanuja Ganu, Sameer Segal, Mohamed Ahmed, Kalika Bali, Sunayana Sitaram
  
  EMNLP 2023 | October 2023
  
  Publication Github Project Project Project
- Deep encoders with auxiliary parameters for extreme classification
  
  Kunal Dahiya, Sachin Yadav, Sushant Sondhi, Deepak Saini, Sonu Mehta, Jian Jiao, Sumeet Agarwal, Purushottam Kar, Manik Varma
  
  KDD 2023 | August 2023
  
  Publication
- On Evaluating and Mitigating Gender Biases in Multilingual Settings
  
  Aniket Vashishtha, Kabir Ahuja, Sunayana Sitaram
  
  ACL 2023 | July 2023
  
  Publication Project
- A Comparative Study on the Impact of Model Compression Techniques on Fairness in Language Models
  
  Krithika Ramesh, Arnav Chavan, Shrey Pandit, Sunayana Sitaram
  
  ACL 2023 | July 2023
  
  Publication Project
- Personalized retrieval over millions of items
  
  Hemanth Vemuri, Sheshansh Agrawal, Shivam Mittal, Deepak Saini, Akshay Soni, Abhinav V. Sambasivan, Wenhao Lu, Yajun Wang, Mehul Parsana, Purushottam Kar, Manik Varma
  
  In Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval | July 2023
  
  Publication
- Renee: End-to-end training of extreme classification models
  
  Vidit Jain, Jatin Prakash, Deepak Saini, Jian Jiao, Ramachandran Ramjee, Manik Varma
  
  In Proceedings of the Conference on Machine Learning and Systems, Miami, Florida | June 2023
  
  Publication Project
- NGAME: Negative mining-aware mini-batching for extreme classification
  
  K. Dahiya, N. Gupta, D. Saini (desaini), A. Soni, Y. Wang, K. Dave, J. Jiao, K. Gururaj, P. Dey, A. Singh, D. Hada, V. Jain, B. Paliwal, A. Mittal, S. Mehta, R. Ramjee, S. Agarwal, P. Kar, Manik Varma
  
  ACM International Conference on Web Search and Data Mining, Singapore | March 2023
  
  Publication
- Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
  
  Jivat Neet Kaur, Emre Kiciman, Amit Sharma
  
  International Conference on Learning Representations (ICLR) | January 2023
  
  Notable Top-25% of accepted papers
  
  Publication Project
- Matching Learned Causal Effects of Neural Networks with Domain Priors
  
  Sai Srinivas Kancheti, Abbavaram Gowtham Reddy, Vineeth N Balasubramainan, Amit Sharma
  
  ICML 2022 | July 2022
  
  Publication Project
- Multimodal extreme classification
  
  Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma
  
  IEEE/CVF Conference on Computer Vision and Pattern Recognition | June 2022
  
  Publication
- LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems
  
  Anirudh Srinivasan, Gauri Kholkar, Rahul Kejriwal, Tanuja Ganu, Sandipan Dandapat, Sunayana Sitaram, Balakrishnan Santhanam, Somak Aditya, Kalika Bali, Monojit Choudhury
  
  Thirty-sixth AAAI Conference on Artificial Intelligence | February 2022
  
  System Demonstration
  
  Publication Video Github Project
- Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals
  
  Saloni Dash, Vineeth Balasubramanian, Amit Sharma
  
  Winter Conference on Applications of Computer Vision (WACV) | January 2022
  
  PDF Publication Project
- Generalized Zero-Shot Extreme Multi-label Learning
  
  Nilesh Gupta, Sakina Bohra, Yashoteja Prabhu, Saurabh Purohit, Manik Varma
  
  2021 Knowledge Discovery and Data Mining | August 2021
  
  DOI Publication Project
- A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies
  
  A. Seza Doğruöz, Sunayana Sitaram, Barbara E. Bullock, Almeida Jacqueline Toribio
  
  2021 Meeting of the Association for Computational Linguistics | August 2021
  
  DOI PDF Publication Publication Publication Publication Publication Project
- SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels
  
  Kunal Dahiya, Ananye Agarwal, Deepak Saini, Gururaj K, Jian Jiao, Amit Singh, Sumeet Agarwal, Purushottam Kar, Manik Varma
  
  ICML 2021 | July 2021
  
  PDF
- Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization
  
  Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain
  
  2021 International Conference on Machine Learning | July 2021
  
  PDF Publication Project Project
- Domain Generalization using Causal Matching
  
  Divyat Mahajan, Shruti Tople, Amit Sharma
  
  International Conference on Machine Learning (ICML) | July 2021
  
  Publication Github Project Project
- Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs
  
  Vijay Lingam, Rahul Ragesh, Arun Iyer, Sundararajan Sellamanickam
  
  Knowledge Discovery and Data Mining Workshop on Deep Learning on Graphs: Method and Applications (DLG-KDD) | June 2021
  
  Publication
- GCM: A Toolkit for Generating Synthetic Code-mixed Text
  
  Mohd Sanad Zaki Rizvi, Anirudh Srinivasan, Tanuja Ganu, Monojit Choudhury, Sunayana Sitaram
  
  2021 Conference of the European Chapter of the Association for Computational Linguistics | April 2021
  
  DOI Publication Publication Project
- A Case Study of Efficacy and Challenges in Practical Human-in-Loop Evaluation of NLP Systems Using Checklist
  
  Shaily Bhatt, Rahul Jain, Sandipan Dandapat, Sunayana Sitaram
  
  Workshop on Human Evaluation of NLP Systems | April 2021
  
  Publication Project
- ECLARE: Extreme classification with label graph correlations
  
  Anshul Miital, Noveen Sachdeva, Sheshansh Agrawal, Sumeet Agarwal, Purushottam Kar, Manik Varma
  
  ACM International WWW Conference | April 2021
  
  Publication
- GalaXC: Graph neural networks with labelwise attention for extreme classification
  
  Deepak Saini, Arnav Kumar Jain, Kushal Dave, Jian Jiao, Amit Singh, Ruofei Zhang, Manik Varma
  
  ACM International World Wide Web Conference | April 2021
  
  PDF
- Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End
  
  Ramaravind Kommiya Mothilal, Divyat Mahajan, Chenhao Tan, Amit Sharma
  
  AAAI/ACM Conference on AI, Ethics, and Society (AIES) | April 2021
  
  PDF Publication Project Project
- DECAF: Deep extreme classification with label features
  
  Anshul Mittal , Kunal Dahiya, Sheshansh Agrawal, Deepak Saini, Sumeet Agarwal, Purushottam Kar, Manik Varma
  
  ACM International Conference on Web Search and Data Mining | March 2021
  
  Publication
- DeepXML: A deep extreme multi-Label learning framework applied to short text documents
  
  Kunal Dahiya, Deepak Saini, Anshul Mittal, Kushal Dave, Himanshu Jain, Sumeet Agarwal, Manik Varma
  
  ACM International Conference on Web Search and Data Mining | March 2021
  
  Publication
- Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions
  
  Yanbo Xu, Divyat Mahajan, Liz Manrao, Amit Sharma, Emre Kiciman
  
  ACM Intl. Conf. on Web Search and Data Mining (WSDM) | March 2021
  
  PDF Publication Publication Project
- The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective
  
  Naman Goel, Alfonso Amayeulas, Amit Deshpande, Amit Sharma
  
  AAAI Conference on Artificial Intelligence (AAAI) | February 2021
  
  Publication PDF Project
- RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference
  
  Oindrila Saha, Venkata Aditya Kusupati, Harsha Simhadri, Manik Varma, Prateek Jain
  
  NeurIPS 2020 | November 2020
  
  Publication Project Project
- Extreme Regression for Dynamic Search Advertising
  
  Yashoteja Prabhu, Aditya Kusupati, Nilesh Gupta, Manik Varma
  
  ACM International Conference on Web Search and Data Mining | February 2020
  
  Publication Project
- Explaining Machine Learning Classifiers through Diverse Counterfactual Examples
  
  Ramaravind K. Mothilal, Amit Sharma, Chenhao Tan
  
  ACM Conference on Fairness, Accountability, and Transparency | January 2020
  
  PDF Github Project Project
- GesturePod: Enabling on-device gesture-based interaction for white cane users
  
  Shishir G. Patil, Don Kurian Dennis, Chirag Pabbaraju, Nadeem Shaheer, Harsha Simhadri, Vivek Seshadri, Manik Varma, Prateek Jain
  
  ACM Symposium on User Interface Software and Technology | October 2019
  
  Publication
- Slice: Scalable Linear Extreme Classifiers trained on 100 Million Labels for Related Searches
  
  Himanshu Jain, Venkatesh Balasubramanian, Bhanu Chunduri, Manik Varma
  
  WSDM ’19 | February 2019
  
  Best Paper Award
  
  PDF
- Learning Natural Programs from a Few Examples in Real-Time
  
  Nagarajan Natarajan, Danny Simmons, Naren Datha (narend), Prateek Jain, Sumit Gulwani
  
  AIStats | January 2019
  
  Publication Project
- FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network
  
  Aditya Kusupati, Manish Singh, Kush Bhatia, Ashish Kumar, Prateek Jain, Manik Varma
  
  NIPS 2018 | December 2018
  
  Publication Github Project Project
- Word Embeddings for Code-Mixed Language Processing
  
  Adithya Pratapa, Monojit Choudhury, Sunayana Sitaram
  
  Empirical Methods in Natural Language Processing (EMNLP) | November 2018
  
  Publication Project
- Homophone Identification and Merging for Code-switched Speech Recognition
  
  Brij Mohan Lal Srivastava, Sunayana Sitaram
  
  Interspeech 2018 | September 2018
  
  Publication Project
- Automatic Detection of Code-switching Style from Acoustics
  
  SaiKrishna Rallabandi, Sunayana Sitaram, Alan W Black
  
  Workshop on Computational Approaches to Linguistic Code Switching, 2018 | July 2018
  
  Publication Project
- Phone Merging For Code-switched Speech Recognition
  
  Sunit Sivasankaran, Brij Mohan Lal Srivastava, Sunayana Sitaram, Kalika Bali, Monojit Choudhury
  
  Workshop on Computational Approaches to Linguistic Code Switching, 2018 | July 2018
  
  Publication Project
- Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data
  
  Adithya Pratapa, Gayatri Bhat, Monojit Choudhury, Sunayana Sitaram, Sandipan Dandapat, Kalika Bali
  
  Proceedings of ACL 2018 | July 2018
  
  Publication Project
- Accommodation of Conversational Code-Choice
  
  Anshul Bawa, Monojit Choudhury, Kalika Bali
  
  The Third Workshop on Computational Approaches to Code-Switching | July 2018
  
  Publication Project
- An Integrated Representation of Linguistic and Social Functions of Code-Switching
  
  Silvana Hartmann, Monojit Choudhury, Kalika Bali
  
  Proceedings of LREC 2018 | May 2018
  
  Publication Publication Project
- Discovering Canonical Indian English Accents: A Crowdsourcing-based Approach
  
  Sunayana Sitaram, Varun Manjunath, Varun Bharadwaj, Monojit Choudhury, Kalika Bali, Michael Tjalve
  
  LREC 2018 | May 2018
  
  Publication
- Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising
  
  Yashoteja Prabhu, Anil Kag, Shrutendra Harsola, Rahul Agrawal, Manik Varma
  
  ACM International WWW Conference | April 2018
  
  Publication
- Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation
  
  Yashoteja Prabhu, Anil Kag, Shilpa Gopinath, Kunal Dahiya, Shrutendra Harsola, Rahul Agrawal, Manik Varma
  
  ACM International Conference on Web Search and Data Mining | February 2018
  
  Publication Publication Project
- Curriculum Design for Code-switching: Experiments with Language Identification and Language Modeling with Deep Neural Networks
  
  Ashutosh Baheti, Sunayana Sitaram, Monojit Choudhury, Kalika Bali
  
  ICON 2017 | December 2017
  
  Publication Project
- All that is English may be Hindi: Enhancing Language Identification through Automatic Ranking of Likeliness of Word Borrowing in Social Media
  
  Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Abhipsha Basu, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee
  
  Proc of EMNLP 2017 | September 2017
  
  Publication Project
- Speech Synthesis for Mixed-Language Navigation Instructions
  
  Khythiraghavi Chandu, Sai Krishna Rallabandi, Sunayana Sitaram, Alan W Black
  
  Interspeech 2017 | August 2017
  
  Publication Project
- Estimating Code-Switching on Twitter with a Novel Generalized Word-Level Language Detection Technique
  
  Shruti Rijhwani, Royal Sequiera, Monojit Choudhury, Kalika Bali, Chandra Maddila
  
  Proc. of ACL 2017 | July 2017
  
  Publication Project
- Active Heteroscedastic Regression
  
  Kamalika Chaudhuri, Prateek Jain, Nagarajan Natarajan
  
  2017 International Conference on Machine Learning | July 2017
  
  PDF
- Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things
  
  Ashish Kumar, Saurabh Goyal, Manik Varma
  
  ICML 2017 | May 2017
  
  PDF Project Project
- ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices
  
  Ankit Gupta, Chirag GuptaArun Sai Suggala, Ankit Gupta, Harsha Simhadri, Bhargavi Paranjape, Ashish Kumar, Saurabh Goyal, Raghavendra Udupa, Manik Varma, Prateek Jain
  
  International Conference on Machine Learning, Sydney | February 2017
  
  Publication Project Project
- I may talk in English but gaali toh Hindi mein hi denge: A study of English-Hindi Code-Switching and Swearing Pattern on Social Networks
  
  Jeenu Grover, Prabhat Agarwal, Ashish Sharma, Mayank Sikka, Koustav Rudra, Monojit Choudhury
  
  January 2017
  
  Proceedings of the Social Networking Workshop, COMSNETS 2017
  
  Publication
- Overview of the Mixed Script Information Retrieval (MSIR)
  
  Somnath banerjee, Kunal Chakma, Sudip Kumar Naskar, Amitava Das, Paolo Rosso, Sivaji Bandyopadhyay, Monojit Choudhury
  
  Proceedings of FIRE 2016 | December 2016
  
  Publication
- Regret Bounds for Non-decomposable Metrics with Missing Labels
  
  Nagarajan Natarajan, Prateek Jain
  
  2016 Neural Information Processing Systems | December 2016
  
  Publication Publication Publication Publication Publication
- Natural Language Model Re-usability for Scaling to Different Domains
  
  Young-Bum Kim, Alexandre Rochette , Ruhi Sarikaya
  
  Empirical Methods in Natural Language Processing (EMNLP) | November 2016
  
  Publication
- Understanding Language Preference for Expression of Opinion and Sentiment: What do Hindi-English Speakers do on Twitter?
  
  Koustav Rudra, Shruti Rijhwani, Rafiya Begum, Monojit Choudhury, Kalika Bali, Niloy Ganguly
  
  Proceedings of EMNLP 2016 | October 2016
  
  Publication Publication
- Experiments with Cross-lingual Systems for Synthesis of Code-Mixed Text
  
  Sunayana Sitaram, Sai Krishna Rallabandi, Shruti Rijhwani, Alan W Black
  
  Speech Synthesis Workshop 9 | September 2016
  
  Publication
- Experiments with Cross-lingual Systems for Synthesis of Code-Mixed Text
  
  Sunayana Sitaram, Sai Krishna Rallabandi, Shruti Rijhwani, Alan W Black
  
  Speech Synthesis Workshop 8 | August 2016
  
  Publication Project
- Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications.
  
  Himanshu Jain, Yashoteja Prabhu, Manik Varma
  
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2016
  
  Publication Project
- Scalable Semi-Supervised Query Classification Using Matrix Sketching
  
  Young-Bum Kim, Karl Stratos, Ruhi Sarikaya
  
  July 2016
  
  Publication Project
- Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja’s Algorithm
  
  Prateek Jain, Chi Jin, Sham Kakade, Praneeth Netrapalli, Aaron Sidford
  
  Proceedings of The 29th Conference on Learning Theory (COLT) | June 2016
  
  Proceedings of The 29th Conference on Learning Theory (COLT)
  
  Publication Publication Project
- Diverse Yet Efficient Retrieval using Hash Functions
  
  Vidyadhar Rao, Prateek Jain, C V Jawahar
  
  Proceedings of ACM International Conference in Multimedia Retrieval (ICMR) | June 2016
  
  Publication Publication
- Task Completion Platform: A self-serve multi-domain goal oriented dialogue platform
  
  Paul A. Crook, Alex Marin, V. Agarwal, K. Aggarwal, T. Anastasakos, R. Bikkula, D. Boies, Asli Celikyilmaz, S. Chandramohan, Z. Feizollahi, R. Holenstein, M. Jeong, Omar Zia Khan, Young-Bum Kim, E. Krawczyk, X. Liu, D. Panic, V. Radostev, N. Ramesh, J.-P. Robichaud, A. Rochette, L. Stromberg, Ruhi Sarikaya
  
  June 2016
  
  Publication Publication Project
- Structured Sparse Regression via Greedy Hard-Thresholding
  
  Prateek Jain, Nikhil Rao, Inderjit S. Dhillon
  
  Neural Information Processing Systems (NIPS) | May 2016
  
  Neural Information Processing Systems (NIPS)
  
  Publication Publication Project
- Tensor vs Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations
  
  Anima Anandkumar, Prateek Jain, Yang Shi, U N Niranjan
  
  Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS) | May 2016
  
  Publication Publication Project
- Alternating Minimization for Regression Problems with Vector-valued Outputs
  
  Prateek Jain, Ambuj Tewari
  
  Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS) | December 2015
  
  Publication Project
- Predtron: A Family of Online Algorithms for General Prediction Problems
  
  Prateek Jain, Nagarajan Natarajan, Ambuj Tewari
  
  Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS) | December 2015
  
  Publication
- Sparse Local Embeddings for Extreme Multi-label Classification
  
  Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, Prateek Jain
  
  Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS) | December 2015
  
  Publication Publication
- Robust Regression via Hard Thresholding
  
  Kush Bhatia, Prateek Jain, Purushottam Kar
  
  Proceedings of the 28th Annual Conference on Advances in Neural Information Processing Systems (NIPS) | December 2015
  
  Publication Publication Project
- POS Tagging of Hindi-English Code Mixed Text from Social Media: Some Machine Learning Experiments
  
  Royal Sequiera, Monojit Choudhury, Kalika Bali
  
  2015 Proceedings of International Conference on NLP | December 2015
  
  Publication Publication Project
- Efficient Matrix Sensing Using Rank-1 Gaussian Measurements
  
  Kai Zhong, Prateek Jain, Inderjit S. Dhillon
  
  Proceedings of 26th International Conference on Algorithmic Learning Theory (ALT) | October 2015
  
  Publication Project
- New Transfer Learning Techniques For Disparate Label Sets
  
  Young-Bum Kim, Karl Stratos, Ruhi Sarikaya, Minwoo Jeong
  
  Association for Computational Linguistics (ACL) | August 2015
  
  Publication Project Project
- Compact Lexicon Selection with Spectral Methods
  
  Young-Bum Kim, Ruhi Sarikaya
  
  Association for Computational Linguistics (ACL) | August 2015
  
  Publication Project Project
- Surrogate Functions for Maximizing Precision at the Top
  
  Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
  
  Proceedings of the 32nd International Conference on Machine Learning (ICML) | July 2015
  
  Publication
- Optimizing Non-decomposable Performance Measures: A Tale of Two Classes
  
  , Prateek Jain
  
  Proceedings of the 32nd International Conference on Machine Learning (ICML) | July 2015
  
  Publication
- Fast Exact Matrix Completion with Finite Samples
  
  Prateek Jain, Praneeth Netrapalli, Praneeth Netrapalli
  
  Proceedings of The 28th Conference on Learning Theory (COLT) | June 2015
  
  Publication Publication Project
- Tighter Low-rank Approximation via Sampling the Leveraged Element
  
  Prateek Jain, Srinadh Bhojanapalli, Sujay Sanghavi
  
  Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) | January 2015
  
  Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms (SODA)
  
  Publication Publication Project
- Fast algorithms for online stochastic convex programming
  
  Shipra Agrawal, Nikhil Devanur
  
  SODA 2015 (ACM-SIAM Symposium on Discrete Algorithms) | January 2015
  
  SODA 2015 (ACM-SIAM Symposium on Discrete Algorithms)
  
  Publication Project
- Online and Stochastic Gradient Methods for Non-decomposable Loss Functions
  
  Purushottam Kar, Harikrishna Narasimhan, Prateek Jain
  
  Proceedings of the 28th Annual Conference on Neural Information Processing Systems (NIPS) | December 2014
  
  Publication
- On Iterative Hard Thresholding Methods for High-dimensional M-Estimation
  
  Prateek Jain, Ambuj Tewari, Purushottam Kar
  
  Proceedings of the 28th Annual Conference on Neural Information Processing Systems (NIPS) | December 2014
  
  Publication
- “ye word kis lang ka hai bhai?” Testing the Limits of Word level Language Identification
  
  Spandana Gella, Kalika Bali, Monojit Choudhury
  
  NLPAI | December 2014
  
  Publication Project
- Non-convex Robust PCA
  
  Praneeth Netrapalli, U N Niranjan, Sujay Sanghavi, Anima Anandkumar, Prateek Jain
  
  Advances in Neural Information Processing Systems | December 2014
  
  Publication Publication Project
- “I am borrowing ya mixing?” An Analysis of English-Hindi Code Mixing in Facebook
  
  Kalika Bali, Jatin Sharma, Monojit Choudhury, Yogarshi Vyas
  
  Proceedings of the First Workshop on Computational Approaches to Code Switching | October 2014
  
  Publication Project
- POS Tagging of English-Hindi Code-Mixed Social Media Content
  
  Yogarshi Vyas, Spandana Gella, Jatin Sharma, Kalika Bali, Monojit Choudhury
  
  Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) | October 2014
  
  Publication Project
- Active Learning for Sparse Bayesian Multilabel Classification
  
  Deepak Vasisht, Andreas Damianou, Manik Varma, Ashish Kapoor
  
  Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014
  
  Publication Publication
- Automatic Discovery of Adposition Typology
  
  Rishiraj Saha Roy, Rahul Katare, Niloy Ganguly, Monojit Choudhury
  
  Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers | August 2014
  
  Publication
- Active learning for sparse Bayesian multi-label classification
  
  Deepak Vasisht, Andreas Damianou, Manik Varma, Ashish Kapoor
  
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining, New York | August 2014
  
  Publication
- FastXML: A Fast, Accurate and Stable Tree-classifier for eXtreme Multi-label Learning
  
  Yashoteja Prabhu, Manik Varma
  
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2014
  
  Publication Publication Project
- Query Expansion for Mixed-Script Information Retrieval
  
  Rafael E. Banchs, Monojit Choudhury, Paolo Rosso, Parth Gupta, Kalika Bali
  
  July 2014
  
  Publication Publication Publication Project
- Improving Unsupervised Query Segmentation using Parts-of-Speech Sequence Information
  
  Rishiraj Saha Roy, Yogarshi Vyas, Niloy Ganguly, Monojit Choudhury
  
  Proceedings of the 37th Annual ACM SIGIR Conference on Research and Development on Information Retrieval (SIGIR ’14) | July 2014
  
  Publication Publication
- Learning Sparsely Used Overcomplete Dictionaries
  
  Alekh Agarwal, Animashree Anandkumar, Prateek Jain, Praneeth Netrapalli, Rashish Tandon
  
  Proceedings of The 27th Conference on Learning Theory, COLT 2014, Barcelona, Spain, June 13-15, 2014 | July 2014
  
  Publication Publication Project
- Learning Mixtures of Discrete Product Distributions using Spectral Decompositions
  
  Prateek Jain, Sewoong Oh
  
  Proceedings of The 27th Conference on Learning Theory, COLT 2014, Barcelona, Spain, June 13-15, 2014 | July 2014
  
  Publication Publication
- Large-scale Multi-label Learning with Missing Labels
  
  Hsiang-Fu Yu, Prateek Jain, Purushottam Kar, Inderjit Dhillon
  
  Proceedings of the 31st International Conference on Machine Learning (ICML) | June 2014
  
  Proceedings of the 31st International Conference on Machine Learning (ICML)
  
  Publication
- (Near) Dimension Independent Risk Bounds for Differentially Private Learning
  
  Prateek Jain, Abhradeep Guha Thakurta
  
  Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014 | June 2014
  
  Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014
  
  Publication Publication Publication
- On p-norm path following in multiple kernel learning for non-linear feature selection
  
  Pratik Jawanpuria, Manik Varma, J. Saketha Nath
  
  International Conference on Machine Learning | June 2014
  
  Publication Publication
- Understanding the Linguistic Structure and Evolution of Web Search Queries
  
  Rishiraj Saha Roy, M. Dastagiri Reddy, Niloy Ganguly, Monojit Choudhury
  
  April 2014
  
  Publication
- Hashing Hyperplane Queries to Near Points with Applications to Large-Scale Active Learning
  
  Sudheendra Vijayanarasimhan, Prateek Jain, Kristen Grauman
  
  IEEE Trans. Pattern Anal. Mach. Intell. (PAMI) | January 2014
  
  Publication Publication
- Query word labeling and Back Transliteration for Indian Languages: Shared task system description
  
  Spandana Gella, Jatin Sharma, Kalika Bali
  
  Working Notes – Forum for Information Retrieval Evaluation (FIRE) 2013 Shared Task | December 2013
  
  Best Performing System at FIRE-2013
  
  Publication Project
- Automatically Identifying Vocal Expressions for Music Transcription
  
  Sai Sumanth Miryala, Ranjita Bhagwan, Monojit Choudhury, Kalika Bali
  
  2013 International Society of Music Information Retrieval | November 2013
  
  Publication
- Crowd Prefers the Middle Path: A New IAA Metric for Crowdsourcing Reveals Turker Biases in Query Segmentation
  
  Rohan Ramanath, Monojit Choudhury, Kalika Bali, Rishiaj Saha Roy
  
  Proceedings of ACL | July 2013
  
  Publication Publication
- Thompson Sampling For Contextual Bandits With Linear Payoffs
  
  Shipra Agrawal, Navin Goyal
  
  30th International Conference on Machine Learning (ICML) | June 2013
  
  Publication Project
- Multi-label Learning with Millions of Labels: Recommending Advertiser Bid Phrases for Web Pages
  
  Rahul Agrawal, Archit Gupta, Yashoteja Prabhu, Manik Varma
  
  Proceedings of the International World Wide Web Conference | May 2013
  
  Publication Project
- Multi-label learning with millions of labels: Recommending advertiser bid phrases for web pages
  
  R. Agrawal, A. Gupta, Y. Prabhu, M. Varma, Manik Varma
  
  Proceedings of the International World Wide Web Conference | May 2013
  
  Publication
- SPG-GMKL: Generalized Multiple Kernel Learning with a Million Kernels
  
  A. Jain, S. V. N. Vishwanathan, M. Varma, Manik Varma
  
  Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining | August 2012
  
  Publication
- Multiple Kernel Learning and the SMO Algorithm
  
  S. V. N. Vishwanathan, Z. Sun, N. Theera-Ampornpunt, M. Varma, Manik Varma
  
  Advances in Neural Information Processing Systems | December 2010
  
  Publication
- Large Scale Max-Margin Multi-Label Classification with Priors
  
  B. Hariharan, L. Zelnik-Manor, S. V. N. Vishwanathan, M. Varma, Manik Varma
  
  Proceedings of the International Conference on Machine Learning | June 2010
  
  Publication
- Multiple kernels for object detection
  
  Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew Zisserman
  
  International Conference on Computer Vision, Kyoto, Japan, | September 2009
  
  Publication
- More Generality in Efficient Multiple Kernel Learning
  
  Manik Varma, B. R. Babu
  
  Proceedings of the International Conference on Machine Learning | June 2009
  
  Publication
- Locally Invariant Fractal Features for Statistical Texture Classification
  
  Manik Varma, Rahul Garg
  
  Proceedings of the IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil | October 2007
  
  Publication
- Learning The Discriminative Power-Invariance Trade-Off
  
  M. Varma, D. Ray, Manik Varma
  
  Proceedings of the IEEE International Conference on Computer Vision, Rio de Janeiro, Brazil | October 2007
  
  Publication
- ACL 2023 Multilingual Models Tutorial Slides
  
  Kalika Bali, Monojit Choudhury, Sunayana Sitaram, Barun Patra, Vishrav Chaudhary, Kabir Ahuja
  
  July 2023
  
  Publication Project
- Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
  
  Emre Kiciman, Robert Osazuwa Ness, Amit Sharma, Chenhao Tan
  
  Transactions on Machine Learning Research (TMLR) | August 2024
  
  Outstanding Certification Finalist
  
  Selected for presentation at ICLR 2025
  
  Publication Preprint Project
- Do Multilingual Users Prefer Chat-bots that Code-mix? Let’s Nudge and Find Out!
  
  Anshul Bawa, Pranav Khadpe, Pratik Joshi, Kalika Bali, Monojit Choudhury
  
  Proceedings of the ACM on Human-Computer Interaction | May 2020, Vol 41(CSCW1): pp. 1-23
  
  DOI Project
- One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification
  
  Dhrubojyoti Roy, S. Srivastava, Aditya Kusupati, Pranshu Jain, Manik Varma, A. Arora
  
  ACM Transactions on Sensor Networks | September 2019
  
  DOI Publication Publication Project
- Syntactic Complexity of Web Search Queries through the Lenses of Language Models, Networks and Users
  
  Rishiraj Saha Roy, Smith Agarwal, Niloy Ganguly, Monojit Choudhury
  
  Information Processing & Management | September 2016, pp. 923-948
  
  Publication Publication
- A Statistical Approach To Material Classification Using Image Patch Exemplars
  
  Manik Varma, Andrew Zisserman
  
  IEEE Transactions on Pattern Analysis and Machine Intelligence | January 2016
  
  Publication
- Computer Aided Generation of Stylized Maps
  
  N. Adabala, M. Varma, K. Toyama, Kentaro Toyama, Manik Varma, Neeharika Adabala
  
  Computer Animation and Virtual Worlds | May 2007, Vol 18: pp. 133-140
  
  Publication
- Nearly-optimal Robust Matrix Completion
  
  Yeshwanth Cherapanamjeri, Kartik Gupta, Prateek Jain
  
  MSR-TR-2016-21 | July 2016
  
  Publication Publication Project
- Efficient and Consistent Robust Time Series Analysis
  
  Kush Bhatia, Prateek Jain, Purushottam Kar, Kamalaurben Parameswaran
  
  MSR-TR-2016-20 | June 2016
  
  Publication Publication Project
- Efficient Max-Margin Multi-Label Classification with Applications to Zero-Shot Learning
  
  Bharath Hariharan, S.V. N. Vishwanathan, Manik Varma
  
  MSR-TR-2010-141 | October 2010
  
  Published by Microsoft
  
  Publication
- Discovering and understanding word level user intent in Web search queries
  
  Rishiraj Saha Roy, Rahul Katare, Niloy Ganguly, Srivatsan Laxman, Monojit Choudhury
  
  Web Semantics: Science, Services and Agents on the World Wide Web | Published by Elsevier | 2014 | Web Semantics: Science, Services and Agents on the World Wide Web edition
  
  Publication Publication

Machine Learning and AI | India

Publications

Causal Order: The Key to Leveraging Imperfect Experts in Causal Inference

Robust Root Cause Diagnosis using In-Distribution Interventions

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

MEGA: Multilingual Evaluation of Generative AI

Deep encoders with auxiliary parameters for extreme classification

A Comparative Study on the Impact of Model Compression Techniques on Fairness in Language Models

ACL 2023 Multilingual Models Tutorial Slides

On Evaluating and Mitigating Gender Biases in Multilingual Settings

Personalized retrieval over millions of items

Renee: End-to-end training of extreme classification models

NGAME: Negative mining-aware mini-batching for extreme classification

Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization

Matching Learned Causal Effects of Neural Networks with Domain Priors

Multimodal extreme classification

LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems

Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals

Generalized Zero-Shot Extreme Multi-label Learning

A Survey of Code-switching: Linguistic and Social Perspectives for Language Technologies

SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels

Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization

Domain Generalization using Causal Matching

Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs

A Case Study of Efficacy and Challenges in Practical Human-in-Loop Evaluation of NLP Systems Using Checklist

ECLARE: Extreme classification with label graph correlations

GalaXC: Graph neural networks with labelwise attention for extreme classification

GCM: A Toolkit for Generating Synthetic Code-mixed Text

Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End

DECAF: Deep extreme classification with label features

DeepXML: A deep extreme multi-Label learning framework applied to short text documents

Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions

The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective

RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference

Do Multilingual Users Prefer Chat-bots that Code-mix? Let’s Nudge and Find Out!

Extreme Regression for Dynamic Search Advertising

Explaining Machine Learning Classifiers through Diverse Counterfactual Examples

GesturePod: Enabling on-device gesture-based interaction for white cane users

One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification

Slice: Scalable Linear Extreme Classifiers trained on 100 Million Labels for Related Searches

Learning Natural Programs from a Few Examples in Real-Time

FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network

Word Embeddings for Code-Mixed Language Processing

Homophone Identification and Merging for Code-switched Speech Recognition

Automatic Detection of Code-switching Style from Acoustics

Phone Merging For Code-switched Speech Recognition

Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data

Accommodation of Conversational Code-Choice

An Integrated Representation of Linguistic and Social Functions of Code-Switching

Discovering Canonical Indian English Accents: A Crowdsourcing-based Approach

Parabel: Partitioned Label Trees for Extreme Classification with Application to Dynamic Search Advertising

Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation

Curriculum Design for Code-switching: Experiments with Language Identification and Language Modeling with Deep Neural Networks

All that is English may be Hindi: Enhancing Language Identification through Automatic Ranking of Likeliness of Word Borrowing in Social Media

Speech Synthesis for Mixed-Language Navigation Instructions

Estimating Code-Switching on Twitter with a Novel Generalized Word-Level Language Detection Technique

Active Heteroscedastic Regression

Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things

ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices

I may talk in English but gaali toh Hindi mein hi denge: A study of English-Hindi Code-Switching and Swearing Pattern on Social Networks

Overview of the Mixed Script Information Retrieval (MSIR)

Regret Bounds for Non-decomposable Metrics with Missing Labels

Natural Language Model Re-usability for Scaling to Different Domains

Understanding Language Preference for Expression of Opinion and Sentiment: What do Hindi-English Speakers do on Twitter?

Experiments with Cross-lingual Systems for Synthesis of Code-Mixed Text

Syntactic Complexity of Web Search Queries through the Lenses of Language Models, Networks and Users

Experiments with Cross-lingual Systems for Synthesis of Code-Mixed Text

Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications.

Scalable Semi-Supervised Query Classification Using Matrix Sketching

Nearly-optimal Robust Matrix Completion

Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja’s Algorithm

Efficient and Consistent Robust Time Series Analysis

Diverse Yet Efficient Retrieval using Hash Functions

Task Completion Platform: A self-serve multi-domain goal oriented dialogue platform

Structured Sparse Regression via Greedy Hard-Thresholding

Tensor vs Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations

A Statistical Approach To Material Classification Using Image Patch Exemplars

Alternating Minimization for Regression Problems with Vector-valued Outputs

Predtron: A Family of Online Algorithms for General Prediction Problems

Robust Regression via Hard Thresholding