Janardhan (Jana) Kulkarni

Principal Researcher

论文与出版物

查看方式：

- OptiMind: Teaching LLMs to Think Like Optimization Experts
  
  Zeyi Chen, Xinzhi Zhang, Humishka Zope, Hugo Barbalho, Konstantina Mellou, Marco Molinaro, Janardhan (Jana) Kulkarni, Ishai Menache, Sirui Li
  
  September 2025
  
  Publication 视频项目
- SAS: Simulated Attention Score
  
  Chuanyang Zheng, Jiankai Sun, Yihang Gao, Yuehao Wang, Peihao Wang, Jing Xiong, Liliang Ren, Hao Cheng, Janardhan (Jana) Kulkarni, Yelong Shen, Atlas Wang, Mac Schwager, Anderson Schneider, Xiaodong Liu, Jianfeng Gao
  
  NeurIPS 2025 | July 2025
  
  DOI Publication
- Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
  
  Guangchen Lan, Huseyin Inan, Sahar Abdelnabi, Janardhan (Jana) Kulkarni, Lukas Wutschitz, Reza Shokri, Christopher G. Brinton, Robert Sim
  
  NeurIPS 2025 | May 2025
  
  DOI 项目
- Towards Foundation Models for Mixed Integer Linear Programming
  
  Sirui Li, Janardhan (Jana) Kulkarni, Ishai Menache, Cathy Wu, Beibin Li
  
  ICLR 2025 | February 2025
  
  DOI 项目
- On the Emergence of Thinking in LLMs I: Searching for the Right Intuition
  
  Guanghao Ye, Khiem Duc Pham, Xinzhi Zhang, Sivakanth Gopi, Baolin Peng, Beibin Li, Janardhan (Jana) Kulkarni, Huseyin Inan
  
  February 2025
  
  Publication 项目
- DiscQuant: A Quantization Method for Neural Networks Inspired by Discrepancy Theory
  
  Jerry Chee, Arturs Backurs, Rainie Heck, Li Zhang, Janardhan (Jana) Kulkarni, Thomas Rothvoss, Sivakanth Gopi
  
  COLT 2025 | January 2025
  
  Publication
- Optimal online discrepancy minimization
  
  Janardhan (Jana) Kulkarni, Victor Reis, Thomas Rothvoss
  
  STOC'24 | June 2024
  
  Publication Publication
- Differentially Private Synthetic Data via Foundation Model APIs 1: Images
  
  Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Harsha Nori, Sergey Yekhanin
  
  ICLR 2024 | May 2024
  
  Publication Publication Github 项目
- Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
  
  Xinyu Tang, Richard Shin, Huseyin Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Robert Sim
  
  ICLR 2024 | May 2024
  
  Publication Publication Github 项目
- Privately Aligning Language Models with Reinforcement Learning
  
  Fan Wu, Huseyin Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan (Jana) Kulkarni, Robert Sim
  
  ICLR 2024 | May 2024
  
  DOI 项目
- Selective Pre-training for Private Fine-tuning
  
  Da Yu, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang
  
  TMLR | May 2024
  
  Publication Publication 项目
- Workload-Aware Hardware Accelerator Mining for Distributed Deep Learning Training
  
  Muhammad Adnan, Amar Phanishayee,, Janardhan (Jana) Kulkarni, Prashant J. Nair, Divya Mahajan
  
  arXiv:2404.14632 | April 2024
  
  作者：Microsoft
  
  Publication 项目
- Differentially Private Training of Mixture of Experts Models
  
  Pierre Tholoniat, Huseyin A. Inan, Janardhan (Jana) Kulkarni, Robert Sim
  
  PPAI-24: The 5th AAAI Workshop on Privacy-Preserving Artificial Intelligence | February 2024
  
  DOI 项目
- TinyGSM: achieving >80% on GSM8k with small language models
  
  Bingbin Liu, Sébastien Bubeck, Ronen Eldan, Janardhan (Jana) Kulkarni, Yuanzhi Li, Anh Nguyen, Rachel Ward, Yi Zhang
  
  3nd MATH-AI Workshop at NeurIPS'23 | December 2023
  
  DOI
- Training Private and Efficient Language Models with Synthetic Data from LLMs
  
  Da Yu, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Janardhan (Jana) Kulkarni, Zinan Lin, Chulin Xie, Huishuai Zhang, Wanrong Zhang
  
  NeurIPS 2023 SoLaR Workshop | December 2023
  
  Publication 项目
- Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks
  
  Ruixiang Tang, Gord Lueck, Rodolfo Quispe, Huseyin A. Inan, Janardhan (Jana) Kulkarni, Xia Hu
  
  Empirical Methods in Natural Language Processing (EMNLP 2023) | October 2023
  
  DOI PDF 项目
- Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
  
  Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan (Jana) Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian
  
  International Conference on Learning Representations (ICLR) 2023 | May 2023
  
  Publication 项目
- Differentially Private Model Compression
  
  Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin Inan, Lukas Wutschitz, Janardhan (Jana) Kulkarni
  
  NeurIPS 2022 | November 2022
  
  Publication 项目
- When does differentially private learning not suffer in high dimensions?
  
  Xuechen Li, Daogao Liu, Tatsunori Hashimoto, Huseyin Inan, Janardhan (Jana) Kulkarni, Yin Tat Lee, Abhradeep Guha Thakurta
  
  NeurIPS'22 | November 2022
  
  Publication 项目
- Looking Beyond GPUs for DNN Scheduling on Multi-Tenant Clusters
  
  Jayashree Mohan, Amar Phanishayee, Janardhan (Jana) Kulkarni, Vijay Chidambaram
  
  USENIX Symposium on Operating Systems Design and Implementation (OSDI 2022) | July 2022
  
  Publication 项目
- Online Edge Coloring via Tree Recurrences and Correlation Decay
  
  Janardhan (Jana) Kulkarni, Yang Liu, Yang Liu, Yang Liu, Ashwin Sah, Mehtaab Sawhney, Jakub Tarnawski
  
  STOC 2022 | June 2022
  
  Publication
- Differentially private fine-tuning of language models
  
  Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Gautam Kamath, Janardhan (Jana) Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang
  
  ICLR 2022 | April 2022
  
  Publication 项目
- On the Hardness of Scheduling With Non-Uniform Communication Delays
  
  Sami Davies, Janardhan (Jana) Kulkarni, Thomas Rothvoss, Sai Sandeep, Jakub Tarnawski, Yihao Zhang
  
  SODA 2022 | January 2022
  
  PDF Publication
- Differentially private n-gram extraction
  
  Kunho Kim, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Sergey Yekhanin
  
  NeurIPS 2021 | December 2021
  
  PDF Publication 项目
- Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters
  
  Jayashree Mohan, Amar Phanishayee, Janardhan (Jana) Kulkarni, Vijay Chidambaram
  
  October 2021
  
  Publication PDF 项目
- Accuracy, Interpretability, and Differential Privacy via Explainable Boosting
  
  Harsha Nori, Rich Caruana, Zhiqi Bu, Judy Hanwen Shen, Janardhan (Jana) Kulkarni
  
  2021 International Conference on Machine Learning | July 2021
  
  Publication 项目
- Scheduling Opportunistic Links in Two-Tiered Reconfigurable Datacenters
  
  Janardhan (Jana) Kulkarni, Stefan Schmid, Paweł Schmidt
  
  ACM Symposium on Parallelism in Algorithms and Architectures (SPAA) 2021 | July 2021
  
  Publication
- Consistent k-Median: Simpler, Better and Robust
  
  Xiangyu Guo, Janardhan (Jana) Kulkarni, Shi Li, Jiayi Xian
  
  International Conference on Artificial Intelligence and Statistics (AISTATS) 2021 | April 2021
  
  Publication
- Private Non-smooth Empirical Risk Minimization and Stochastic Convex Optimization in Subquadratic Steps
  
  Janardhan (Jana) Kulkarni, Yin Tat Lee, Daogao Liu
  
  NeurIPS 2021 | March 2021
  
  Publication 项目
- Differentially Private Correlation Clustering
  
  Mark Bun, Marek Eliás, Janardhan (Jana) Kulkarni
  
  2021 International Conference on Machine Learning | February 2021
  
  Publication 项目
- Fast and Memory Efficient Differentially Private-SGD via JL Projections
  
  Zhiqi Bu, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Yin Tat Lee, Judy Hanwen Shen, Uthaipon Tantipongpipat
  
  NeurIPS 2021 | February 2021
  
  Preprint 项目
- Scheduling with Communication Delays via LP Hierarchies and Clustering II: Weighted Completion Times on Related Machines
  
  Sami Davies, Janardhan (Jana) Kulkarni, Thomas Rothvoss, Jakub Tarnawski, Yihao Zhang
  
  SODA 2021 | January 2021
  
  PDF
- On the Facility Location Problem in Online and Dynamic Models
  
  Xiangyu Guo, Janardhan (Jana) Kulkarni, Shi Li, Jiayi Xian
  
  APPROX-RANDOM | August 2020
  
  Publication
- Differentially Private Set Union
  
  Sivakanth Gopi, Pankaj Gulhane, Janardhan (Jana) Kulkarni, Judy Hanwen Shen, Milad Shokouhi, Sergey Yekhanin
  
  International Conference on Machine Learning 2020 | July 2020
  
  Contributed talk at TPDP 2020. Also appeared in the Journal of Privacy and Confidentiality (JPC).
  
  Publication Github 项目
- Locally Private Hypothesis Selection
  
  Sivakanth Gopi, Gautam Kamath, Janardhan (Jana) Kulkarni, Aleksandar Nikolov, Zhiwei Steven Wu, Huanyu Zhang
  
  Conference on Learning Theory (COLT) 2020 | July 2020
  
  Publication 项目
- Privately Learning Markov Random Fields
  
  Huanyu Zhang, Gautam Kamath, Janardhan (Jana) Kulkarni, Zhiwei Steven Wu
  
  ICML 2020 | July 2020
  
  Publication PDF 项目
- Scheduling with Communication Delays via LP Hierarchies and Clustering
  
  Sami Davies, Janardhan (Jana) Kulkarni, Thomas Rothvoss, Jakub Tarnawski, Yihao Zhang
  
  FOCS 2020 | April 2020
  
  Publication PDF
- Hierarchy-Based Algorithms for Minimizing Makespan under Precedence and Communication Constraints
  
  Janardhan (Jana) Kulkarni, Shi Li, Jakub Tarnawski, Minwei Ye
  
  SODA 2020 | January 2020
  
  Publication PDF
- Differentially private release of synthetic graphs
  
  Marek Eliáš, Michael Kapralov, Janardhan (Jana) Kulkarni, Yin Tat Lee
  
  2020 Symposium on Discrete Algorithms | January 2020
  
  PDF 项目
- Locally Private Gaussian Estimation
  
  Matthew Joseph, Janardhan (Jana) Kulkarni, Jieming Mao, Zhiwei Steven Wu
  
  November 2019
  
  Publication PDF 项目
- An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors
  
  Joshua Allen, Bolin Ding, Janardhan (Jana) Kulkarni, Harsha Nori, Olga Ohrimenko, Sergey Yekhanin
  
  NeurIPS 2019 | August 2019
  
  Publication Publication 项目项目
- Collecting Telemetry Data Privately
  
  Bolin Ding, Janardhan (Jana) Kulkarni, Sergey Yekhanin
  
  Advances in Neural Information Processing Systems 30 | December 2017
  
  Publication 项目
- Truth and Regret in Online Scheduling
  
  Shuchi Chawla, Nikhil Devanur, Janardhan (Jana) Kulkarni, Rad Niazadeh
  
  March 2017
  
  论文与出版物
- Morpheus: Towards Automated SLOs for Enterprise Clusters
  
  Sangeetha Abdu Jyothi, Carlo Curino, Ishai Menache, Shravan Matthur Narayanamurthy, Alexey Tumanov, Jonathan Yaniv, Ruslan Mavlyutov, Íñigo Goiri, Subru Krishnan, Janardhan (Jana) Kulkarni, Sriram Rao
  
  2016 International Symposium on Operating Systems Design and Implementation (OSDI) | November 2016
  
  论文与出版物项目
- Graphene: Packing and Dependency-aware Scheduling for Data-Parallel Clusters
  
  Robert Grandl, Srikanth Kandula, Sriram Rao, Aditya Akella, Janardhan (Jana) Kulkarni
  
  Operating Systems Design and Implementation | October 2016
  
  Publication Publication Publication Publication 项目
- ProjecToR: Agile Reconfigurable Data Center Interconnect
  
  Manya Ghobadi, Ratul Mahajan, Amar Phanishayee, Nikhil Devanur, Janardhan (Jana) Kulkarni, Gireeja Ranade, Pierre-Alexandre Blanche, Houman Rastegarfar, Madeleine Glick, Daniel Kilper
  
  ACM SIGCOMM 2016 | August 2016
  
  Publication Publication Publication 项目项目
- Fair Online Scheduling for Selfish Jobs on Heterogeneous Machines
  
  Janardhan (Jana) Kulkarni
  
  SPAA '16 Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures | July 2016
  
  论文与出版物论文与出版物
- Do the Hard Stuff First: Scheduling Dependent Computations in Data Analytics Clusters
  
  Robert Grandl, Srikanth Kandula, Sriram Rao, Aditya Akella, Janardhan (Jana) Kulkarni
  
  MSR-TR-2016-19 | February 2016
  
  作者：Microsoft
  
  Publication 项目
- A Competitive Flow Time Algorithm for Heterogeneous Clusters Under Polytope Constraints
  
  Sunjin Im, Janardhan (Jana) Kulkarni, Benjamin Moseley, Kamesh Munagala
  
  January 2016
  
  论文与出版物论文与出版物
- Competitive Analysis of Constrained Queueing Systems
  
  Sungjin Im, Janardhan (Jana) Kulkarni, Kamesh Munagala
  
  43rd International Colloquium on Automata, Languages, and Programming (ICALP 2016) | January 2016
  
  论文与出版物论文与出版物
- Competitive Flow-Time Algorithms For Polyhedral Scheduling
  
  Sungjin Im, Janardhan (Jana) Kulkarni, Kamesh Munagala
  
  Foundations of Computer Science (FOCS), 2015 IEEE 56th Annual Symposium on | December 2015
  
  论文与出版物论文与出版物
- Dynamic Coordination Games
  
  Janardhan (Jana) Kulkarni, Vahab Mirrokni
  
  Newsletter ACM SIGMETRICS Performance Evaluation Review | December 2015
  
  论文与出版物
- Temporal Fairness of Round Robin
  
  Sungjin Im, Janardhan (Jana) Kulkarni, Benjamin Moseley
  
  Proceeding SPAA '15 Proceedings of the 27th ACM symposium on Parallelism in Algorithms and Architectures | June 2015
  
  论文与出版物论文与出版物
- Robust Price of Anarchy Bounds via LP and Fenchel Duality
  
  Janardhan (Jana) Kulkarni, Vahab Mirrokni
  
  Proceeding SODA '15 Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms | January 2015
  
  论文与出版物
- Tight Bounds for Online Vector Scheduling
  
  Sungjin Im, Nathaniel Kell, Janardhan (Jana) Kulkarni, Debmalya Panigrahi
  
  December 2014
  
  论文与出版物
- Coordination Mechanisms for Selfish Routing over Time on a Tree
  
  Sayan Bhattacharya, Janardhan (Jana) Kulkarni, Vahab Mirrokni
  
  July 2014
  
  论文与出版物论文与出版物
- Competitive Algorithms from Competitive Equilibria: Non-Clairvoyant Scheduling under Polyhedral Constraints
  
  Sungjin Im, Janardhan (Jana) Kulkarni, Kamesh Munagala
  
  May 2014
  
  论文与出版物
- SELFISHMIGRATE: A Scalable Algorithm for Non-clairvoyantly Scheduling Heterogeneous Processors
  
  Sungjin Im, Janardhan (Jana) Kulkarni, Kamesh Munagala, Kirk Pruhs
  
  May 2014
  
  论文与出版物
- Minimizing Flow-Time on Unrelated Machines
  
  Nikhil Bansal, Janardhan (Jana) Kulkarni
  
  February 2014
  
  论文与出版物
- Online Non-clairvoyant Scheduling to Simultaneously Minimize All Convex Functions
  
  Kyle Fox, Sungjin Im, Janardhan (Jana) Kulkarni, Benjamin Moseley
  
  August 2013
  
  论文与出版物论文与出版物
- Coordination Mechanisms from (almost) all Scheduling Policies
  
  Janardhan (Jana) Kulkarni
  
  ITCS '14 Proceedings of the 5th conference on Innovations in theoretical computer science | August 2013
  
  论文与出版物论文与出版物
- Near-optimal multi-unit auctions with ordered bidders
  
  Sayan Bhattacharya, Elias Koutsoupias, Janardhan (Jana) Kulkarni, Stefano Leonardi, Tim Roughgarden, Xiaoming Xu
  
  EC '13 Proceedings of the fourteenth ACM conference on Electronic commerce | June 2013
  
  论文与出版物论文与出版物
- Constant-Competitive Prior-Free Auction with Ordered Bidders
  
  Sayan Bhattacharya, Janardhan (Jana) Kulkarni, Xiaoming Xu
  
  January 2013
  
  论文与出版物
- Cost-Aware Scheduling
  
  Janardhan (Jana) Kulkarni
  
  September 2012
  
  论文与出版物论文与出版物
- On Allocations with Negative Externalities
  
  Sayan Bhattacharya, Janardhan (Jana) Kulkarni, Kamesh Munagala, Xiaoming Xu
  
  WINE'11 Proceedings of the 7th international conference on Internet and Network Economics | December 2011
  
  论文与出版物论文与出版物
- New epsilon-net constructions
  
  Janardhan (Jana) Kulkarni, Sathish Govindarajan
  
  August 2010
  
  论文与出版物
- On the Decidability of Model-Checking Information Flow Properties
  
  Deepak D'Souza, Raveendra Holla, Janardhan (Jana) Kulkarni, Barbara Sprick
  
  December 2008
  
  论文与出版物论文与出版物

- OptiMind: Teaching LLMs to Think Like Optimization Experts
  
  Zeyi Chen, Xinzhi Zhang, Humishka Zope, Hugo Barbalho, Konstantina Mellou, Marco Molinaro, Janardhan (Jana) Kulkarni, Ishai Menache, Sirui Li
  
  September 2025
  
  Publication 视频项目
- SAS: Simulated Attention Score
  
  Chuanyang Zheng, Jiankai Sun, Yihang Gao, Yuehao Wang, Peihao Wang, Jing Xiong, Liliang Ren, Hao Cheng, Janardhan (Jana) Kulkarni, Yelong Shen, Atlas Wang, Mac Schwager, Anderson Schneider, Xiaodong Liu, Jianfeng Gao
  
  NeurIPS 2025 | July 2025
  
  DOI Publication
- Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
  
  Guangchen Lan, Huseyin Inan, Sahar Abdelnabi, Janardhan (Jana) Kulkarni, Lukas Wutschitz, Reza Shokri, Christopher G. Brinton, Robert Sim
  
  NeurIPS 2025 | May 2025
  
  DOI 项目
- Towards Foundation Models for Mixed Integer Linear Programming
  
  Sirui Li, Janardhan (Jana) Kulkarni, Ishai Menache, Cathy Wu, Beibin Li
  
  ICLR 2025 | February 2025
  
  DOI 项目
- On the Emergence of Thinking in LLMs I: Searching for the Right Intuition
  
  Guanghao Ye, Khiem Duc Pham, Xinzhi Zhang, Sivakanth Gopi, Baolin Peng, Beibin Li, Janardhan (Jana) Kulkarni, Huseyin Inan
  
  February 2025
  
  Publication 项目
- DiscQuant: A Quantization Method for Neural Networks Inspired by Discrepancy Theory
  
  Jerry Chee, Arturs Backurs, Rainie Heck, Li Zhang, Janardhan (Jana) Kulkarni, Thomas Rothvoss, Sivakanth Gopi
  
  COLT 2025 | January 2025
  
  Publication
- Privately Aligning Language Models with Reinforcement Learning
  
  Fan Wu, Huseyin Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan (Jana) Kulkarni, Robert Sim
  
  ICLR 2024 | May 2024
  
  DOI 项目
- Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
  
  Xinyu Tang, Richard Shin, Huseyin Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Robert Sim
  
  ICLR 2024 | May 2024
  
  Publication Publication Github 项目
- Differentially Private Synthetic Data via Foundation Model APIs 1: Images
  
  Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Harsha Nori, Sergey Yekhanin
  
  ICLR 2024 | May 2024
  
  Publication Publication Github 项目
- TinyGSM: achieving >80% on GSM8k with small language models
  
  Bingbin Liu, Sébastien Bubeck, Ronen Eldan, Janardhan (Jana) Kulkarni, Yuanzhi Li, Anh Nguyen, Rachel Ward, Yi Zhang
  
  3nd MATH-AI Workshop at NeurIPS'23 | December 2023
  
  DOI
- Training Private and Efficient Language Models with Synthetic Data from LLMs
  
  Da Yu, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Janardhan (Jana) Kulkarni, Zinan Lin, Chulin Xie, Huishuai Zhang, Wanrong Zhang
  
  NeurIPS 2023 SoLaR Workshop | December 2023
  
  Publication 项目
- Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
  
  Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan (Jana) Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian
  
  International Conference on Learning Representations (ICLR) 2023 | May 2023
  
  Publication 项目
- Differentially Private Model Compression
  
  Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin Inan, Lukas Wutschitz, Janardhan (Jana) Kulkarni
  
  NeurIPS 2022 | November 2022
  
  Publication 项目
- Looking Beyond GPUs for DNN Scheduling on Multi-Tenant Clusters
  
  Jayashree Mohan, Amar Phanishayee, Janardhan (Jana) Kulkarni, Vijay Chidambaram
  
  USENIX Symposium on Operating Systems Design and Implementation (OSDI 2022) | July 2022
  
  Publication 项目
- Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters
  
  Jayashree Mohan, Amar Phanishayee, Janardhan (Jana) Kulkarni, Vijay Chidambaram
  
  October 2021
  
  Publication PDF 项目
- Accuracy, Interpretability, and Differential Privacy via Explainable Boosting
  
  Harsha Nori, Rich Caruana, Zhiqi Bu, Judy Hanwen Shen, Janardhan (Jana) Kulkarni
  
  2021 International Conference on Machine Learning | July 2021
  
  Publication 项目
- Private Non-smooth Empirical Risk Minimization and Stochastic Convex Optimization in Subquadratic Steps
  
  Janardhan (Jana) Kulkarni, Yin Tat Lee, Daogao Liu
  
  NeurIPS 2021 | March 2021
  
  Publication 项目
- Privately Learning Markov Random Fields
  
  Huanyu Zhang, Gautam Kamath, Janardhan (Jana) Kulkarni, Zhiwei Steven Wu
  
  ICML 2020 | July 2020
  
  Publication PDF 项目
- Truth and Regret in Online Scheduling
  
  Shuchi Chawla, Nikhil Devanur, Janardhan (Jana) Kulkarni, Rad Niazadeh
  
  March 2017
  
  论文与出版物
- OptiMind: Teaching LLMs to Think Like Optimization Experts
  
  Zeyi Chen, Xinzhi Zhang, Humishka Zope, Hugo Barbalho, Konstantina Mellou, Marco Molinaro, Janardhan (Jana) Kulkarni, Ishai Menache, Sirui Li
  
  September 2025
  
  Publication 视频项目
- DiscQuant: A Quantization Method for Neural Networks Inspired by Discrepancy Theory
  
  Jerry Chee, Arturs Backurs, Rainie Heck, Li Zhang, Janardhan (Jana) Kulkarni, Thomas Rothvoss, Sivakanth Gopi
  
  COLT 2025 | January 2025
  
  Publication
- Differentially Private Synthetic Data via Foundation Model APIs 1: Images
  
  Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Harsha Nori, Sergey Yekhanin
  
  ICLR 2024 | May 2024
  
  Publication Publication Github 项目
- Fast and Memory Efficient Differentially Private-SGD via JL Projections
  
  Zhiqi Bu, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Yin Tat Lee, Judy Hanwen Shen, Uthaipon Tantipongpipat
  
  NeurIPS 2021 | February 2021
  
  Preprint 项目
- Locally Private Hypothesis Selection
  
  Sivakanth Gopi, Gautam Kamath, Janardhan (Jana) Kulkarni, Aleksandar Nikolov, Zhiwei Steven Wu, Huanyu Zhang
  
  Conference on Learning Theory (COLT) 2020 | July 2020
  
  Publication 项目
- Differentially Private Set Union
  
  Sivakanth Gopi, Pankaj Gulhane, Janardhan (Jana) Kulkarni, Judy Hanwen Shen, Milad Shokouhi, Sergey Yekhanin
  
  International Conference on Machine Learning 2020 | July 2020
  
  Contributed talk at TPDP 2020. Also appeared in the Journal of Privacy and Confidentiality (JPC).
  
  Publication Github 项目
- DiscQuant: A Quantization Method for Neural Networks Inspired by Discrepancy Theory
  
  Jerry Chee, Arturs Backurs, Rainie Heck, Li Zhang, Janardhan (Jana) Kulkarni, Thomas Rothvoss, Sivakanth Gopi
  
  COLT 2025 | January 2025
  
  Publication
- Optimal online discrepancy minimization
  
  Janardhan (Jana) Kulkarni, Victor Reis, Thomas Rothvoss
  
  STOC'24 | June 2024
  
  Publication Publication
- Privately Aligning Language Models with Reinforcement Learning
  
  Fan Wu, Huseyin Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan (Jana) Kulkarni, Robert Sim
  
  ICLR 2024 | May 2024
  
  DOI 项目
- Differentially Private Synthetic Data via Foundation Model APIs 1: Images
  
  Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Harsha Nori, Sergey Yekhanin
  
  ICLR 2024 | May 2024
  
  Publication Publication Github 项目
- Selective Pre-training for Private Fine-tuning
  
  Da Yu, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang
  
  TMLR | May 2024
  
  Publication Publication 项目
- Differentially Private Training of Mixture of Experts Models
  
  Pierre Tholoniat, Huseyin A. Inan, Janardhan (Jana) Kulkarni, Robert Sim
  
  PPAI-24: The 5th AAAI Workshop on Privacy-Preserving Artificial Intelligence | February 2024
  
  DOI 项目
- Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks
  
  Ruixiang Tang, Gord Lueck, Rodolfo Quispe, Huseyin A. Inan, Janardhan (Jana) Kulkarni, Xia Hu
  
  Empirical Methods in Natural Language Processing (EMNLP 2023) | October 2023
  
  DOI PDF 项目
- Differentially Private Model Compression
  
  Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin Inan, Lukas Wutschitz, Janardhan (Jana) Kulkarni
  
  NeurIPS 2022 | November 2022
  
  Publication 项目
- When does differentially private learning not suffer in high dimensions?
  
  Xuechen Li, Daogao Liu, Tatsunori Hashimoto, Huseyin Inan, Janardhan (Jana) Kulkarni, Yin Tat Lee, Abhradeep Guha Thakurta
  
  NeurIPS'22 | November 2022
  
  Publication 项目
- Online Edge Coloring via Tree Recurrences and Correlation Decay
  
  Janardhan (Jana) Kulkarni, Yang Liu, Yang Liu, Yang Liu, Ashwin Sah, Mehtaab Sawhney, Jakub Tarnawski
  
  STOC 2022 | June 2022
  
  Publication
- Differentially private fine-tuning of language models
  
  Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Gautam Kamath, Janardhan (Jana) Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang
  
  ICLR 2022 | April 2022
  
  Publication 项目
- On the Hardness of Scheduling With Non-Uniform Communication Delays
  
  Sami Davies, Janardhan (Jana) Kulkarni, Thomas Rothvoss, Sai Sandeep, Jakub Tarnawski, Yihao Zhang
  
  SODA 2022 | January 2022
  
  PDF Publication
- Differentially private n-gram extraction
  
  Kunho Kim, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Sergey Yekhanin
  
  NeurIPS 2021 | December 2021
  
  PDF Publication 项目
- Scheduling Opportunistic Links in Two-Tiered Reconfigurable Datacenters
  
  Janardhan (Jana) Kulkarni, Stefan Schmid, Paweł Schmidt
  
  ACM Symposium on Parallelism in Algorithms and Architectures (SPAA) 2021 | July 2021
  
  Publication
- Consistent k-Median: Simpler, Better and Robust
  
  Xiangyu Guo, Janardhan (Jana) Kulkarni, Shi Li, Jiayi Xian
  
  International Conference on Artificial Intelligence and Statistics (AISTATS) 2021 | April 2021
  
  Publication
- Private Non-smooth Empirical Risk Minimization and Stochastic Convex Optimization in Subquadratic Steps
  
  Janardhan (Jana) Kulkarni, Yin Tat Lee, Daogao Liu
  
  NeurIPS 2021 | March 2021
  
  Publication 项目
- Differentially Private Correlation Clustering
  
  Mark Bun, Marek Eliás, Janardhan (Jana) Kulkarni
  
  2021 International Conference on Machine Learning | February 2021
  
  Publication 项目
- Fast and Memory Efficient Differentially Private-SGD via JL Projections
  
  Zhiqi Bu, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Yin Tat Lee, Judy Hanwen Shen, Uthaipon Tantipongpipat
  
  NeurIPS 2021 | February 2021
  
  Preprint 项目
- Scheduling with Communication Delays via LP Hierarchies and Clustering II: Weighted Completion Times on Related Machines
  
  Sami Davies, Janardhan (Jana) Kulkarni, Thomas Rothvoss, Jakub Tarnawski, Yihao Zhang
  
  SODA 2021 | January 2021
  
  PDF
- On the Facility Location Problem in Online and Dynamic Models
  
  Xiangyu Guo, Janardhan (Jana) Kulkarni, Shi Li, Jiayi Xian
  
  APPROX-RANDOM | August 2020
  
  Publication
- Privately Learning Markov Random Fields
  
  Huanyu Zhang, Gautam Kamath, Janardhan (Jana) Kulkarni, Zhiwei Steven Wu
  
  ICML 2020 | July 2020
  
  Publication PDF 项目
- Locally Private Hypothesis Selection
  
  Sivakanth Gopi, Gautam Kamath, Janardhan (Jana) Kulkarni, Aleksandar Nikolov, Zhiwei Steven Wu, Huanyu Zhang
  
  Conference on Learning Theory (COLT) 2020 | July 2020
  
  Publication 项目
- Differentially Private Set Union
  
  Sivakanth Gopi, Pankaj Gulhane, Janardhan (Jana) Kulkarni, Judy Hanwen Shen, Milad Shokouhi, Sergey Yekhanin
  
  International Conference on Machine Learning 2020 | July 2020
  
  Contributed talk at TPDP 2020. Also appeared in the Journal of Privacy and Confidentiality (JPC).
  
  Publication Github 项目
- Scheduling with Communication Delays via LP Hierarchies and Clustering
  
  Sami Davies, Janardhan (Jana) Kulkarni, Thomas Rothvoss, Jakub Tarnawski, Yihao Zhang
  
  FOCS 2020 | April 2020
  
  Publication PDF
- Hierarchy-Based Algorithms for Minimizing Makespan under Precedence and Communication Constraints
  
  Janardhan (Jana) Kulkarni, Shi Li, Jakub Tarnawski, Minwei Ye
  
  SODA 2020 | January 2020
  
  Publication PDF
- Differentially private release of synthetic graphs
  
  Marek Eliáš, Michael Kapralov, Janardhan (Jana) Kulkarni, Yin Tat Lee
  
  2020 Symposium on Discrete Algorithms | January 2020
  
  PDF 项目
- Collecting Telemetry Data Privately
  
  Bolin Ding, Janardhan (Jana) Kulkarni, Sergey Yekhanin
  
  Advances in Neural Information Processing Systems 30 | December 2017
  
  Publication 项目
- Truth and Regret in Online Scheduling
  
  Shuchi Chawla, Nikhil Devanur, Janardhan (Jana) Kulkarni, Rad Niazadeh
  
  March 2017
  
  论文与出版物
- Fair Online Scheduling for Selfish Jobs on Heterogeneous Machines
  
  Janardhan (Jana) Kulkarni
  
  SPAA '16 Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures | July 2016
  
  论文与出版物论文与出版物
- Competitive Analysis of Constrained Queueing Systems
  
  Sungjin Im, Janardhan (Jana) Kulkarni, Kamesh Munagala
  
  43rd International Colloquium on Automata, Languages, and Programming (ICALP 2016) | January 2016
  
  论文与出版物论文与出版物
- A Competitive Flow Time Algorithm for Heterogeneous Clusters Under Polytope Constraints
  
  Sunjin Im, Janardhan (Jana) Kulkarni, Benjamin Moseley, Kamesh Munagala
  
  January 2016
  
  论文与出版物论文与出版物
- Competitive Flow-Time Algorithms For Polyhedral Scheduling
  
  Sungjin Im, Janardhan (Jana) Kulkarni, Kamesh Munagala
  
  Foundations of Computer Science (FOCS), 2015 IEEE 56th Annual Symposium on | December 2015
  
  论文与出版物论文与出版物
- Dynamic Coordination Games
  
  Janardhan (Jana) Kulkarni, Vahab Mirrokni
  
  Newsletter ACM SIGMETRICS Performance Evaluation Review | December 2015
  
  论文与出版物
- Temporal Fairness of Round Robin
  
  Sungjin Im, Janardhan (Jana) Kulkarni, Benjamin Moseley
  
  Proceeding SPAA '15 Proceedings of the 27th ACM symposium on Parallelism in Algorithms and Architectures | June 2015
  
  论文与出版物论文与出版物
- Robust Price of Anarchy Bounds via LP and Fenchel Duality
  
  Janardhan (Jana) Kulkarni, Vahab Mirrokni
  
  Proceeding SODA '15 Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms | January 2015
  
  论文与出版物
- Tight Bounds for Online Vector Scheduling
  
  Sungjin Im, Nathaniel Kell, Janardhan (Jana) Kulkarni, Debmalya Panigrahi
  
  December 2014
  
  论文与出版物
- Coordination Mechanisms for Selfish Routing over Time on a Tree
  
  Sayan Bhattacharya, Janardhan (Jana) Kulkarni, Vahab Mirrokni
  
  July 2014
  
  论文与出版物论文与出版物
- Competitive Algorithms from Competitive Equilibria: Non-Clairvoyant Scheduling under Polyhedral Constraints
  
  Sungjin Im, Janardhan (Jana) Kulkarni, Kamesh Munagala
  
  May 2014
  
  论文与出版物
- SELFISHMIGRATE: A Scalable Algorithm for Non-clairvoyantly Scheduling Heterogeneous Processors
  
  Sungjin Im, Janardhan (Jana) Kulkarni, Kamesh Munagala, Kirk Pruhs
  
  May 2014
  
  论文与出版物
- Minimizing Flow-Time on Unrelated Machines
  
  Nikhil Bansal, Janardhan (Jana) Kulkarni
  
  February 2014
  
  论文与出版物
- Online Non-clairvoyant Scheduling to Simultaneously Minimize All Convex Functions
  
  Kyle Fox, Sungjin Im, Janardhan (Jana) Kulkarni, Benjamin Moseley
  
  August 2013
  
  论文与出版物论文与出版物
- Coordination Mechanisms from (almost) all Scheduling Policies
  
  Janardhan (Jana) Kulkarni
  
  ITCS '14 Proceedings of the 5th conference on Innovations in theoretical computer science | August 2013
  
  论文与出版物论文与出版物
- Near-optimal multi-unit auctions with ordered bidders
  
  Sayan Bhattacharya, Elias Koutsoupias, Janardhan (Jana) Kulkarni, Stefano Leonardi, Tim Roughgarden, Xiaoming Xu
  
  EC '13 Proceedings of the fourteenth ACM conference on Electronic commerce | June 2013
  
  论文与出版物论文与出版物
- Constant-Competitive Prior-Free Auction with Ordered Bidders
  
  Sayan Bhattacharya, Janardhan (Jana) Kulkarni, Xiaoming Xu
  
  January 2013
  
  论文与出版物
- Cost-Aware Scheduling
  
  Janardhan (Jana) Kulkarni
  
  September 2012
  
  论文与出版物论文与出版物
- On Allocations with Negative Externalities
  
  Sayan Bhattacharya, Janardhan (Jana) Kulkarni, Kamesh Munagala, Xiaoming Xu
  
  WINE'11 Proceedings of the 7th international conference on Internet and Network Economics | December 2011
  
  论文与出版物论文与出版物
- New epsilon-net constructions
  
  Janardhan (Jana) Kulkarni, Sathish Govindarajan
  
  August 2010
  
  论文与出版物
- On the Decidability of Model-Checking Information Flow Properties
  
  Deepak D'Souza, Raveendra Holla, Janardhan (Jana) Kulkarni, Barbara Sprick
  
  December 2008
  
  论文与出版物论文与出版物
- Workload-Aware Hardware Accelerator Mining for Distributed Deep Learning Training
  
  Muhammad Adnan, Amar Phanishayee,, Janardhan (Jana) Kulkarni, Prashant J. Nair, Divya Mahajan
  
  arXiv:2404.14632 | April 2024
  
  作者：Microsoft
  
  Publication 项目
- Looking Beyond GPUs for DNN Scheduling on Multi-Tenant Clusters
  
  Jayashree Mohan, Amar Phanishayee, Janardhan (Jana) Kulkarni, Vijay Chidambaram
  
  USENIX Symposium on Operating Systems Design and Implementation (OSDI 2022) | July 2022
  
  Publication 项目
- Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters
  
  Jayashree Mohan, Amar Phanishayee, Janardhan (Jana) Kulkarni, Vijay Chidambaram
  
  October 2021
  
  Publication PDF 项目
- Morpheus: Towards Automated SLOs for Enterprise Clusters
  
  Sangeetha Abdu Jyothi, Carlo Curino, Ishai Menache, Shravan Matthur Narayanamurthy, Alexey Tumanov, Jonathan Yaniv, Ruslan Mavlyutov, Íñigo Goiri, Subru Krishnan, Janardhan (Jana) Kulkarni, Sriram Rao
  
  2016 International Symposium on Operating Systems Design and Implementation (OSDI) | November 2016
  
  论文与出版物项目
- Graphene: Packing and Dependency-aware Scheduling for Data-Parallel Clusters
  
  Robert Grandl, Srikanth Kandula, Sriram Rao, Aditya Akella, Janardhan (Jana) Kulkarni
  
  Operating Systems Design and Implementation | October 2016
  
  Publication Publication Publication Publication 项目
- ProjecToR: Agile Reconfigurable Data Center Interconnect
  
  Manya Ghobadi, Ratul Mahajan, Amar Phanishayee, Nikhil Devanur, Janardhan (Jana) Kulkarni, Gireeja Ranade, Pierre-Alexandre Blanche, Houman Rastegarfar, Madeleine Glick, Daniel Kilper
  
  ACM SIGCOMM 2016 | August 2016
  
  Publication Publication Publication 项目项目
- Do the Hard Stuff First: Scheduling Dependent Computations in Data Analytics Clusters
  
  Robert Grandl, Srikanth Kandula, Sriram Rao, Aditya Akella, Janardhan (Jana) Kulkarni
  
  MSR-TR-2016-19 | February 2016
  
  作者：Microsoft
  
  Publication 项目
- Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
  
  Xinyu Tang, Richard Shin, Huseyin Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Robert Sim
  
  ICLR 2024 | May 2024
  
  Publication Publication Github 项目
- Differentially Private Synthetic Data via Foundation Model APIs 1: Images
  
  Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Harsha Nori, Sergey Yekhanin
  
  ICLR 2024 | May 2024
  
  Publication Publication Github 项目
- Selective Pre-training for Private Fine-tuning
  
  Da Yu, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang
  
  TMLR | May 2024
  
  Publication Publication 项目
- Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
  
  Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan (Jana) Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian
  
  International Conference on Learning Representations (ICLR) 2023 | May 2023
  
  Publication 项目
- Private Non-smooth Empirical Risk Minimization and Stochastic Convex Optimization in Subquadratic Steps
  
  Janardhan (Jana) Kulkarni, Yin Tat Lee, Daogao Liu
  
  NeurIPS 2021 | March 2021
  
  Publication 项目
- Fast and Memory Efficient Differentially Private-SGD via JL Projections
  
  Zhiqi Bu, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Yin Tat Lee, Judy Hanwen Shen, Uthaipon Tantipongpipat
  
  NeurIPS 2021 | February 2021
  
  Preprint 项目
- Privately Learning Markov Random Fields
  
  Huanyu Zhang, Gautam Kamath, Janardhan (Jana) Kulkarni, Zhiwei Steven Wu
  
  ICML 2020 | July 2020
  
  Publication PDF 项目
- Locally Private Hypothesis Selection
  
  Sivakanth Gopi, Gautam Kamath, Janardhan (Jana) Kulkarni, Aleksandar Nikolov, Zhiwei Steven Wu, Huanyu Zhang
  
  Conference on Learning Theory (COLT) 2020 | July 2020
  
  Publication 项目
- Differentially Private Set Union
  
  Sivakanth Gopi, Pankaj Gulhane, Janardhan (Jana) Kulkarni, Judy Hanwen Shen, Milad Shokouhi, Sergey Yekhanin
  
  International Conference on Machine Learning 2020 | July 2020
  
  Contributed talk at TPDP 2020. Also appeared in the Journal of Privacy and Confidentiality (JPC).
  
  Publication Github 项目
- Locally Private Gaussian Estimation
  
  Matthew Joseph, Janardhan (Jana) Kulkarni, Jieming Mao, Zhiwei Steven Wu
  
  November 2019
  
  Publication PDF 项目
- An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors
  
  Joshua Allen, Bolin Ding, Janardhan (Jana) Kulkarni, Harsha Nori, Olga Ohrimenko, Sergey Yekhanin
  
  NeurIPS 2019 | August 2019
  
  Publication Publication 项目项目
- Collecting Telemetry Data Privately
  
  Bolin Ding, Janardhan (Jana) Kulkarni, Sergey Yekhanin
  
  Advances in Neural Information Processing Systems 30 | December 2017
  
  Publication 项目
- Collecting Telemetry Data Privately
  
  Bolin Ding, Janardhan (Jana) Kulkarni, Sergey Yekhanin
  
  Advances in Neural Information Processing Systems 30 | December 2017
  
  Publication 项目

- SAS: Simulated Attention Score
  
  Chuanyang Zheng, Jiankai Sun, Yihang Gao, Yuehao Wang, Peihao Wang, Jing Xiong, Liliang Ren, Hao Cheng, Janardhan (Jana) Kulkarni, Yelong Shen, Atlas Wang, Mac Schwager, Anderson Schneider, Xiaodong Liu, Jianfeng Gao
  
  NeurIPS 2025 | July 2025
  
  DOI Publication
- Contextual Integrity in LLMs via Reasoning and Reinforcement Learning
  
  Guangchen Lan, Huseyin Inan, Sahar Abdelnabi, Janardhan (Jana) Kulkarni, Lukas Wutschitz, Reza Shokri, Christopher G. Brinton, Robert Sim
  
  NeurIPS 2025 | May 2025
  
  DOI 项目
- Towards Foundation Models for Mixed Integer Linear Programming
  
  Sirui Li, Janardhan (Jana) Kulkarni, Ishai Menache, Cathy Wu, Beibin Li
  
  ICLR 2025 | February 2025
  
  DOI 项目
- DiscQuant: A Quantization Method for Neural Networks Inspired by Discrepancy Theory
  
  Jerry Chee, Arturs Backurs, Rainie Heck, Li Zhang, Janardhan (Jana) Kulkarni, Thomas Rothvoss, Sivakanth Gopi
  
  COLT 2025 | January 2025
  
  Publication
- Optimal online discrepancy minimization
  
  Janardhan (Jana) Kulkarni, Victor Reis, Thomas Rothvoss
  
  STOC'24 | June 2024
  
  Publication Publication
- Privately Aligning Language Models with Reinforcement Learning
  
  Fan Wu, Huseyin Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan (Jana) Kulkarni, Robert Sim
  
  ICLR 2024 | May 2024
  
  DOI 项目
- Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
  
  Xinyu Tang, Richard Shin, Huseyin Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Robert Sim
  
  ICLR 2024 | May 2024
  
  Publication Publication Github 项目
- Differentially Private Synthetic Data via Foundation Model APIs 1: Images
  
  Zinan Lin, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Harsha Nori, Sergey Yekhanin
  
  ICLR 2024 | May 2024
  
  Publication Publication Github 项目
- Differentially Private Training of Mixture of Experts Models
  
  Pierre Tholoniat, Huseyin A. Inan, Janardhan (Jana) Kulkarni, Robert Sim
  
  PPAI-24: The 5th AAAI Workshop on Privacy-Preserving Artificial Intelligence | February 2024
  
  DOI 项目
- TinyGSM: achieving >80% on GSM8k with small language models
  
  Bingbin Liu, Sébastien Bubeck, Ronen Eldan, Janardhan (Jana) Kulkarni, Yuanzhi Li, Anh Nguyen, Rachel Ward, Yi Zhang
  
  3nd MATH-AI Workshop at NeurIPS'23 | December 2023
  
  DOI
- Training Private and Efficient Language Models with Synthetic Data from LLMs
  
  Da Yu, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Janardhan (Jana) Kulkarni, Zinan Lin, Chulin Xie, Huishuai Zhang, Wanrong Zhang
  
  NeurIPS 2023 SoLaR Workshop | December 2023
  
  Publication 项目
- Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks
  
  Ruixiang Tang, Gord Lueck, Rodolfo Quispe, Huseyin A. Inan, Janardhan (Jana) Kulkarni, Xia Hu
  
  Empirical Methods in Natural Language Processing (EMNLP 2023) | October 2023
  
  DOI PDF 项目
- Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping
  
  Jiyan He, Xuechen Li, Da Yu, Huishuai Zhang, Janardhan (Jana) Kulkarni, Yin Tat Lee, Arturs Backurs, Nenghai Yu, Jiang Bian
  
  International Conference on Learning Representations (ICLR) 2023 | May 2023
  
  Publication 项目
- Differentially Private Model Compression
  
  Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin Inan, Lukas Wutschitz, Janardhan (Jana) Kulkarni
  
  NeurIPS 2022 | November 2022
  
  Publication 项目
- When does differentially private learning not suffer in high dimensions?
  
  Xuechen Li, Daogao Liu, Tatsunori Hashimoto, Huseyin Inan, Janardhan (Jana) Kulkarni, Yin Tat Lee, Abhradeep Guha Thakurta
  
  NeurIPS'22 | November 2022
  
  Publication 项目
- Looking Beyond GPUs for DNN Scheduling on Multi-Tenant Clusters
  
  Jayashree Mohan, Amar Phanishayee, Janardhan (Jana) Kulkarni, Vijay Chidambaram
  
  USENIX Symposium on Operating Systems Design and Implementation (OSDI 2022) | July 2022
  
  Publication 项目
- Online Edge Coloring via Tree Recurrences and Correlation Decay
  
  Janardhan (Jana) Kulkarni, Yang Liu, Yang Liu, Yang Liu, Ashwin Sah, Mehtaab Sawhney, Jakub Tarnawski
  
  STOC 2022 | June 2022
  
  Publication
- Differentially private fine-tuning of language models
  
  Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin Inan, Gautam Kamath, Janardhan (Jana) Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang
  
  ICLR 2022 | April 2022
  
  Publication 项目
- On the Hardness of Scheduling With Non-Uniform Communication Delays
  
  Sami Davies, Janardhan (Jana) Kulkarni, Thomas Rothvoss, Sai Sandeep, Jakub Tarnawski, Yihao Zhang
  
  SODA 2022 | January 2022
  
  PDF Publication
- Differentially private n-gram extraction
  
  Kunho Kim, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Sergey Yekhanin
  
  NeurIPS 2021 | December 2021
  
  PDF Publication 项目
- Accuracy, Interpretability, and Differential Privacy via Explainable Boosting
  
  Harsha Nori, Rich Caruana, Zhiqi Bu, Judy Hanwen Shen, Janardhan (Jana) Kulkarni
  
  2021 International Conference on Machine Learning | July 2021
  
  Publication 项目
- Scheduling Opportunistic Links in Two-Tiered Reconfigurable Datacenters
  
  Janardhan (Jana) Kulkarni, Stefan Schmid, Paweł Schmidt
  
  ACM Symposium on Parallelism in Algorithms and Architectures (SPAA) 2021 | July 2021
  
  Publication
- Consistent k-Median: Simpler, Better and Robust
  
  Xiangyu Guo, Janardhan (Jana) Kulkarni, Shi Li, Jiayi Xian
  
  International Conference on Artificial Intelligence and Statistics (AISTATS) 2021 | April 2021
  
  Publication
- Private Non-smooth Empirical Risk Minimization and Stochastic Convex Optimization in Subquadratic Steps
  
  Janardhan (Jana) Kulkarni, Yin Tat Lee, Daogao Liu
  
  NeurIPS 2021 | March 2021
  
  Publication 项目
- Differentially Private Correlation Clustering
  
  Mark Bun, Marek Eliás, Janardhan (Jana) Kulkarni
  
  2021 International Conference on Machine Learning | February 2021
  
  Publication 项目
- Fast and Memory Efficient Differentially Private-SGD via JL Projections
  
  Zhiqi Bu, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Yin Tat Lee, Judy Hanwen Shen, Uthaipon Tantipongpipat
  
  NeurIPS 2021 | February 2021
  
  Preprint 项目
- Scheduling with Communication Delays via LP Hierarchies and Clustering II: Weighted Completion Times on Related Machines
  
  Sami Davies, Janardhan (Jana) Kulkarni, Thomas Rothvoss, Jakub Tarnawski, Yihao Zhang
  
  SODA 2021 | January 2021
  
  PDF
- On the Facility Location Problem in Online and Dynamic Models
  
  Xiangyu Guo, Janardhan (Jana) Kulkarni, Shi Li, Jiayi Xian
  
  APPROX-RANDOM | August 2020
  
  Publication
- Privately Learning Markov Random Fields
  
  Huanyu Zhang, Gautam Kamath, Janardhan (Jana) Kulkarni, Zhiwei Steven Wu
  
  ICML 2020 | July 2020
  
  Publication PDF 项目
- Locally Private Hypothesis Selection
  
  Sivakanth Gopi, Gautam Kamath, Janardhan (Jana) Kulkarni, Aleksandar Nikolov, Zhiwei Steven Wu, Huanyu Zhang
  
  Conference on Learning Theory (COLT) 2020 | July 2020
  
  Publication 项目
- Differentially Private Set Union
  
  Sivakanth Gopi, Pankaj Gulhane, Janardhan (Jana) Kulkarni, Judy Hanwen Shen, Milad Shokouhi, Sergey Yekhanin
  
  International Conference on Machine Learning 2020 | July 2020
  
  Contributed talk at TPDP 2020. Also appeared in the Journal of Privacy and Confidentiality (JPC).
  
  Publication Github 项目
- Scheduling with Communication Delays via LP Hierarchies and Clustering
  
  Sami Davies, Janardhan (Jana) Kulkarni, Thomas Rothvoss, Jakub Tarnawski, Yihao Zhang
  
  FOCS 2020 | April 2020
  
  Publication PDF
- Hierarchy-Based Algorithms for Minimizing Makespan under Precedence and Communication Constraints
  
  Janardhan (Jana) Kulkarni, Shi Li, Jakub Tarnawski, Minwei Ye
  
  SODA 2020 | January 2020
  
  Publication PDF
- Differentially private release of synthetic graphs
  
  Marek Eliáš, Michael Kapralov, Janardhan (Jana) Kulkarni, Yin Tat Lee
  
  2020 Symposium on Discrete Algorithms | January 2020
  
  PDF 项目
- An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors
  
  Joshua Allen, Bolin Ding, Janardhan (Jana) Kulkarni, Harsha Nori, Olga Ohrimenko, Sergey Yekhanin
  
  NeurIPS 2019 | August 2019
  
  Publication Publication 项目项目
- Collecting Telemetry Data Privately
  
  Bolin Ding, Janardhan (Jana) Kulkarni, Sergey Yekhanin
  
  Advances in Neural Information Processing Systems 30 | December 2017
  
  Publication 项目
- Morpheus: Towards Automated SLOs for Enterprise Clusters
  
  Sangeetha Abdu Jyothi, Carlo Curino, Ishai Menache, Shravan Matthur Narayanamurthy, Alexey Tumanov, Jonathan Yaniv, Ruslan Mavlyutov, Íñigo Goiri, Subru Krishnan, Janardhan (Jana) Kulkarni, Sriram Rao
  
  2016 International Symposium on Operating Systems Design and Implementation (OSDI) | November 2016
  
  论文与出版物项目
- Graphene: Packing and Dependency-aware Scheduling for Data-Parallel Clusters
  
  Robert Grandl, Srikanth Kandula, Sriram Rao, Aditya Akella, Janardhan (Jana) Kulkarni
  
  Operating Systems Design and Implementation | October 2016
  
  Publication Publication Publication Publication 项目
- ProjecToR: Agile Reconfigurable Data Center Interconnect
  
  Manya Ghobadi, Ratul Mahajan, Amar Phanishayee, Nikhil Devanur, Janardhan (Jana) Kulkarni, Gireeja Ranade, Pierre-Alexandre Blanche, Houman Rastegarfar, Madeleine Glick, Daniel Kilper
  
  ACM SIGCOMM 2016 | August 2016
  
  Publication Publication Publication 项目项目
- Fair Online Scheduling for Selfish Jobs on Heterogeneous Machines
  
  Janardhan (Jana) Kulkarni
  
  SPAA '16 Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures | July 2016
  
  论文与出版物论文与出版物
- Competitive Analysis of Constrained Queueing Systems
  
  Sungjin Im, Janardhan (Jana) Kulkarni, Kamesh Munagala
  
  43rd International Colloquium on Automata, Languages, and Programming (ICALP 2016) | January 2016
  
  论文与出版物论文与出版物
- A Competitive Flow Time Algorithm for Heterogeneous Clusters Under Polytope Constraints
  
  Sunjin Im, Janardhan (Jana) Kulkarni, Benjamin Moseley, Kamesh Munagala
  
  January 2016
  
  论文与出版物论文与出版物
- Competitive Flow-Time Algorithms For Polyhedral Scheduling
  
  Sungjin Im, Janardhan (Jana) Kulkarni, Kamesh Munagala
  
  Foundations of Computer Science (FOCS), 2015 IEEE 56th Annual Symposium on | December 2015
  
  论文与出版物论文与出版物
- Temporal Fairness of Round Robin
  
  Sungjin Im, Janardhan (Jana) Kulkarni, Benjamin Moseley
  
  Proceeding SPAA '15 Proceedings of the 27th ACM symposium on Parallelism in Algorithms and Architectures | June 2015
  
  论文与出版物论文与出版物
- Robust Price of Anarchy Bounds via LP and Fenchel Duality
  
  Janardhan (Jana) Kulkarni, Vahab Mirrokni
  
  Proceeding SODA '15 Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms | January 2015
  
  论文与出版物
- Coordination Mechanisms for Selfish Routing over Time on a Tree
  
  Sayan Bhattacharya, Janardhan (Jana) Kulkarni, Vahab Mirrokni
  
  July 2014
  
  论文与出版物论文与出版物
- Online Non-clairvoyant Scheduling to Simultaneously Minimize All Convex Functions
  
  Kyle Fox, Sungjin Im, Janardhan (Jana) Kulkarni, Benjamin Moseley
  
  August 2013
  
  论文与出版物论文与出版物
- Coordination Mechanisms from (almost) all Scheduling Policies
  
  Janardhan (Jana) Kulkarni
  
  ITCS '14 Proceedings of the 5th conference on Innovations in theoretical computer science | August 2013
  
  论文与出版物论文与出版物
- Near-optimal multi-unit auctions with ordered bidders
  
  Sayan Bhattacharya, Elias Koutsoupias, Janardhan (Jana) Kulkarni, Stefano Leonardi, Tim Roughgarden, Xiaoming Xu
  
  EC '13 Proceedings of the fourteenth ACM conference on Electronic commerce | June 2013
  
  论文与出版物论文与出版物
- On Allocations with Negative Externalities
  
  Sayan Bhattacharya, Janardhan (Jana) Kulkarni, Kamesh Munagala, Xiaoming Xu
  
  WINE'11 Proceedings of the 7th international conference on Internet and Network Economics | December 2011
  
  论文与出版物论文与出版物
- OptiMind: Teaching LLMs to Think Like Optimization Experts
  
  Zeyi Chen, Xinzhi Zhang, Humishka Zope, Hugo Barbalho, Konstantina Mellou, Marco Molinaro, Janardhan (Jana) Kulkarni, Ishai Menache, Sirui Li
  
  September 2025
  
  Publication 视频项目
- Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters
  
  Jayashree Mohan, Amar Phanishayee, Janardhan (Jana) Kulkarni, Vijay Chidambaram
  
  October 2021
  
  Publication PDF 项目
- Locally Private Gaussian Estimation
  
  Matthew Joseph, Janardhan (Jana) Kulkarni, Jieming Mao, Zhiwei Steven Wu
  
  November 2019
  
  Publication PDF 项目
- On the Emergence of Thinking in LLMs I: Searching for the Right Intuition
  
  Guanghao Ye, Khiem Duc Pham, Xinzhi Zhang, Sivakanth Gopi, Baolin Peng, Beibin Li, Janardhan (Jana) Kulkarni, Huseyin Inan
  
  February 2025
  
  Publication 项目
- Workload-Aware Hardware Accelerator Mining for Distributed Deep Learning Training
  
  Muhammad Adnan, Amar Phanishayee,, Janardhan (Jana) Kulkarni, Prashant J. Nair, Divya Mahajan
  
  arXiv:2404.14632 | April 2024
  
  作者：Microsoft
  
  Publication 项目
- Do the Hard Stuff First: Scheduling Dependent Computations in Data Analytics Clusters
  
  Robert Grandl, Srikanth Kandula, Sriram Rao, Aditya Akella, Janardhan (Jana) Kulkarni
  
  MSR-TR-2016-19 | February 2016
  
  作者：Microsoft
  
  Publication 项目
- Selective Pre-training for Private Fine-tuning
  
  Da Yu, Sivakanth Gopi, Janardhan (Jana) Kulkarni, Zinan Lin, Saurabh Naik, Tomasz Lukasz Religa, Jian Yin, Huishuai Zhang
  
  TMLR | May 2024
  
  Publication Publication 项目
- Truth and Regret in Online Scheduling
  
  Shuchi Chawla, Nikhil Devanur, Janardhan (Jana) Kulkarni, Rad Niazadeh
  
  March 2017
  
  论文与出版物
- Dynamic Coordination Games
  
  Janardhan (Jana) Kulkarni, Vahab Mirrokni
  
  Newsletter ACM SIGMETRICS Performance Evaluation Review | December 2015
  
  论文与出版物
- Tight Bounds for Online Vector Scheduling
  
  Sungjin Im, Nathaniel Kell, Janardhan (Jana) Kulkarni, Debmalya Panigrahi
  
  December 2014
  
  论文与出版物
- Competitive Algorithms from Competitive Equilibria: Non-Clairvoyant Scheduling under Polyhedral Constraints
  
  Sungjin Im, Janardhan (Jana) Kulkarni, Kamesh Munagala
  
  May 2014
  
  论文与出版物
- SELFISHMIGRATE: A Scalable Algorithm for Non-clairvoyantly Scheduling Heterogeneous Processors
  
  Sungjin Im, Janardhan (Jana) Kulkarni, Kamesh Munagala, Kirk Pruhs
  
  May 2014
  
  论文与出版物
- Minimizing Flow-Time on Unrelated Machines
  
  Nikhil Bansal, Janardhan (Jana) Kulkarni
  
  February 2014
  
  论文与出版物
- Constant-Competitive Prior-Free Auction with Ordered Bidders
  
  Sayan Bhattacharya, Janardhan (Jana) Kulkarni, Xiaoming Xu
  
  January 2013
  
  论文与出版物
- Cost-Aware Scheduling
  
  Janardhan (Jana) Kulkarni
  
  September 2012
  
  论文与出版物论文与出版物
- New epsilon-net constructions
  
  Janardhan (Jana) Kulkarni, Sathish Govindarajan
  
  August 2010
  
  论文与出版物
- On the Decidability of Model-Checking Information Flow Properties
  
  Deepak D'Souza, Raveendra Holla, Janardhan (Jana) Kulkarni, Barbara Sprick
  
  December 2008
  
  论文与出版物论文与出版物

Janardhan (Jana) Kulkarni

论文与出版物

OptiMind: Teaching LLMs to Think Like Optimization Experts

SAS: Simulated Attention Score

Contextual Integrity in LLMs via Reasoning and Reinforcement Learning

Towards Foundation Models for Mixed Integer Linear Programming

On the Emergence of Thinking in LLMs I: Searching for the Right Intuition

DiscQuant: A Quantization Method for Neural Networks Inspired by Discrepancy Theory

Optimal online discrepancy minimization

Differentially Private Synthetic Data via Foundation Model APIs 1: Images

Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation

Privately Aligning Language Models with Reinforcement Learning

Selective Pre-training for Private Fine-tuning

Workload-Aware Hardware Accelerator Mining for Distributed Deep Learning Training

Differentially Private Training of Mixture of Experts Models

TinyGSM: achieving >80% on GSM8k with small language models

Training Private and Efficient Language Models with Synthetic Data from LLMs

Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks

Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping

Differentially Private Model Compression

When does differentially private learning not suffer in high dimensions?

Looking Beyond GPUs for DNN Scheduling on Multi-Tenant Clusters

Online Edge Coloring via Tree Recurrences and Correlation Decay

Differentially private fine-tuning of language models

On the Hardness of Scheduling With Non-Uniform Communication Delays

Differentially private n-gram extraction

Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters

Accuracy, Interpretability, and Differential Privacy via Explainable Boosting

Scheduling Opportunistic Links in Two-Tiered Reconfigurable Datacenters

Consistent k-Median: Simpler, Better and Robust

Private Non-smooth Empirical Risk Minimization and Stochastic Convex Optimization in Subquadratic Steps

Differentially Private Correlation Clustering

Fast and Memory Efficient Differentially Private-SGD via JL Projections

Scheduling with Communication Delays via LP Hierarchies and Clustering II: Weighted Completion Times on Related Machines

On the Facility Location Problem in Online and Dynamic Models

Differentially Private Set Union

Locally Private Hypothesis Selection

Privately Learning Markov Random Fields

Scheduling with Communication Delays via LP Hierarchies and Clustering

Hierarchy-Based Algorithms for Minimizing Makespan under Precedence and Communication Constraints

Differentially private release of synthetic graphs

Locally Private Gaussian Estimation

An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors

Collecting Telemetry Data Privately

Truth and Regret in Online Scheduling

Morpheus: Towards Automated SLOs for Enterprise Clusters

Graphene: Packing and Dependency-aware Scheduling for Data-Parallel Clusters

ProjecToR: Agile Reconfigurable Data Center Interconnect

Fair Online Scheduling for Selfish Jobs on Heterogeneous Machines

Do the Hard Stuff First: Scheduling Dependent Computations in Data Analytics Clusters

A Competitive Flow Time Algorithm for Heterogeneous Clusters Under Polytope Constraints

Competitive Analysis of Constrained Queueing Systems

Competitive Flow-Time Algorithms For Polyhedral Scheduling

Dynamic Coordination Games

Temporal Fairness of Round Robin

Robust Price of Anarchy Bounds via LP and Fenchel Duality

Tight Bounds for Online Vector Scheduling

Coordination Mechanisms for Selfish Routing over Time on a Tree

Competitive Algorithms from Competitive Equilibria: Non-Clairvoyant Scheduling under Polyhedral Constraints

SELFISHMIGRATE: A Scalable Algorithm for Non-clairvoyantly Scheduling Heterogeneous Processors

Minimizing Flow-Time on Unrelated Machines

Online Non-clairvoyant Scheduling to Simultaneously Minimize All Convex Functions

Coordination Mechanisms from (almost) all Scheduling Policies

Near-optimal multi-unit auctions with ordered bidders

Constant-Competitive Prior-Free Auction with Ordered Bidders

Cost-Aware Scheduling

On Allocations with Negative Externalities

New epsilon-net constructions

On the Decidability of Model-Checking Information Flow Properties

OptiMind: Teaching LLMs to Think Like Optimization Experts

SAS: Simulated Attention Score

Contextual Integrity in LLMs via Reasoning and Reinforcement Learning

Towards Foundation Models for Mixed Integer Linear Programming

On the Emergence of Thinking in LLMs I: Searching for the Right Intuition

DiscQuant: A Quantization Method for Neural Networks Inspired by Discrepancy Theory

Privately Aligning Language Models with Reinforcement Learning

Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation

Differentially Private Synthetic Data via Foundation Model APIs 1: Images

TinyGSM: achieving >80% on GSM8k with small language models

Training Private and Efficient Language Models with Synthetic Data from LLMs