INLAY: Preemptive, In-Context Intelligence for Casual Web Browsing
Pratyay Kedar Suvarnapathaki, Adithya S Kolavi, Harsh Vijay, Mayukh Das, Ajay Manchepalli, Venkata N. Padmanabhan
CHI 2026 | April 2026
Mayukh Das
Senior Researcher
Publications
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ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud
Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
MLSys'25 | May 2025
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Reward Copilot for RL-driven Systems Optimization
Karan Tandon, Manav Mishra, Gagan Somashekar, Mayukh Das, Nagarajan Natarajan
Advances in Neural Information Processing Systems 2024 - Workshop on ML For Systems | November 2024
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COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
CIKM'24 | October 2024
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SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud
Jovan Stojkovic, Pulkit Misra, Íñigo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini
ISCA | June 2024
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Intelligent Overclocking for Improved Cloud Efficiency
Aditya Soni, Mayukh Das, Pulkit Misra, Chetan Bansal
AIOps '24 workshop @ ASPLOS [5th International Workshop on Cloud Intelligence / AIOps] | April 2024
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OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy
Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan
NSDI 2024 | April 2024
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NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams
Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das
IEEE Big Data 2023 | December 2023
Special session on Machine Learning on Big Data (MLBD)
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AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement
Mayukh Das, Brijraj Singh, Harsh Kanti Chheda, Pawan Sharma, Pradeep NS
ICPR | August 2022
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Beyond Simple Images: Human Knowledge-Guided GANs for Clinical Data Generation
Devendra Singh Dhami, Mayukh Das, Sriraam Natarajan
International Conference on Principles of Knowledge Representation and Reasoning (KR) | September 2021
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Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning
Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli, Sriraam Natarajan
CODS-COMAD | January 2021
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Few-Shot Induction of Generalized Logical Concepts via Human Guidance
Mayukh Das, Nandini Ramanan, Janardhan Rao Doppa, Sriraam Natarajan
Frontiers in Robotics and AI | November 2020
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Planning with actively eliciting preferences
Mayukh Das, Phillip Odom, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan
Knowledge Based Systems | February 2019, Vol 165: pp. 219-227
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Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs
Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan
AAAI | January 2019
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Preference-Guided Planning: An Active Elicitation Approach
Mayukh Das, Phillip Odom, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan
17th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS) | July 2018
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INLAY: Preemptive, In-Context Intelligence for Casual Web Browsing
Pratyay Kedar Suvarnapathaki, Adithya S Kolavi, Harsh Vijay, Mayukh Das, Ajay Manchepalli, Venkata N. Padmanabhan
CHI 2026 | April 2026
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ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud
Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
MLSys'25 | May 2025
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Reward Copilot for RL-driven Systems Optimization
Karan Tandon, Manav Mishra, Gagan Somashekar, Mayukh Das, Nagarajan Natarajan
Advances in Neural Information Processing Systems 2024 - Workshop on ML For Systems | November 2024
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COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
CIKM'24 | October 2024
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Intelligent Overclocking for Improved Cloud Efficiency
Aditya Soni, Mayukh Das, Pulkit Misra, Chetan Bansal
AIOps '24 workshop @ ASPLOS [5th International Workshop on Cloud Intelligence / AIOps] | April 2024
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NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams
Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das
IEEE Big Data 2023 | December 2023
Special session on Machine Learning on Big Data (MLBD)
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AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement
Mayukh Das, Brijraj Singh, Harsh Kanti Chheda, Pawan Sharma, Pradeep NS
ICPR | August 2022
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Beyond Simple Images: Human Knowledge-Guided GANs for Clinical Data Generation
Devendra Singh Dhami, Mayukh Das, Sriraam Natarajan
International Conference on Principles of Knowledge Representation and Reasoning (KR) | September 2021
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Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning
Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli, Sriraam Natarajan
CODS-COMAD | January 2021
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Few-Shot Induction of Generalized Logical Concepts via Human Guidance
Mayukh Das, Nandini Ramanan, Janardhan Rao Doppa, Sriraam Natarajan
Frontiers in Robotics and AI | November 2020
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Planning with actively eliciting preferences
Mayukh Das, Phillip Odom, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan
Knowledge Based Systems | February 2019, Vol 165: pp. 219-227
-
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs
Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan
AAAI | January 2019
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Preference-Guided Planning: An Active Elicitation Approach
Mayukh Das, Phillip Odom, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan
17th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS) | July 2018
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INLAY: Preemptive, In-Context Intelligence for Casual Web Browsing
Pratyay Kedar Suvarnapathaki, Adithya S Kolavi, Harsh Vijay, Mayukh Das, Ajay Manchepalli, Venkata N. Padmanabhan
CHI 2026 | April 2026
-
Preference-Guided Planning: An Active Elicitation Approach
Mayukh Das, Phillip Odom, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan
17th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS) | July 2018
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Reward Copilot for RL-driven Systems Optimization
Karan Tandon, Manav Mishra, Gagan Somashekar, Mayukh Das, Nagarajan Natarajan
Advances in Neural Information Processing Systems 2024 - Workshop on ML For Systems | November 2024
-
OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy
Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan
NSDI 2024 | April 2024
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NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams
Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das
IEEE Big Data 2023 | December 2023
Special session on Machine Learning on Big Data (MLBD)
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ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud
Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
MLSys'25 | May 2025
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Reward Copilot for RL-driven Systems Optimization
Karan Tandon, Manav Mishra, Gagan Somashekar, Mayukh Das, Nagarajan Natarajan
Advances in Neural Information Processing Systems 2024 - Workshop on ML For Systems | November 2024
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COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
CIKM'24 | October 2024
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SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud
Jovan Stojkovic, Pulkit Misra, Íñigo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini
ISCA | June 2024
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Intelligent Overclocking for Improved Cloud Efficiency
Aditya Soni, Mayukh Das, Pulkit Misra, Chetan Bansal
AIOps '24 workshop @ ASPLOS [5th International Workshop on Cloud Intelligence / AIOps] | April 2024
-
OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy
Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan
NSDI 2024 | April 2024
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NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams
Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das
IEEE Big Data 2023 | December 2023
Special session on Machine Learning on Big Data (MLBD)
-
-
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INLAY: Preemptive, In-Context Intelligence for Casual Web Browsing
Pratyay Kedar Suvarnapathaki, Adithya S Kolavi, Harsh Vijay, Mayukh Das, Ajay Manchepalli, Venkata N. Padmanabhan
CHI 2026 | April 2026
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ProtoRAIL: A Risk-cognizant Imitation Agent for Adaptive vCPU Oversubscription In The Cloud
Lu Wang, Mayukh Das, Fangkai Yang, Bo Qiao, Hang Dong, Si Qin, Victor Ruehle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang
MLSys'25 | May 2025
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Reward Copilot for RL-driven Systems Optimization
Karan Tandon, Manav Mishra, Gagan Somashekar, Mayukh Das, Nagarajan Natarajan
Advances in Neural Information Processing Systems 2024 - Workshop on ML For Systems | November 2024
-
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty
Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang, Qi Zhang
CIKM'24 | October 2024
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SmartOClock: Workload- and Risk-Aware Overclocking in the Cloud
Jovan Stojkovic, Pulkit Misra, Íñigo Goiri, Sam Whitlock, Esha Choukse, Mayukh Das, Chetan Bansal, Jason Lee, Zoey Sun, Haoran Qiu, Reed Zimmermann, Savyasachi Samal, Brijesh Warrier, Ashish Raniwala, Ricardo Bianchini
ISCA | June 2024
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Intelligent Overclocking for Improved Cloud Efficiency
Aditya Soni, Mayukh Das, Pulkit Misra, Chetan Bansal
AIOps '24 workshop @ ASPLOS [5th International Workshop on Cloud Intelligence / AIOps] | April 2024
-
OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy
Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan
NSDI 2024 | April 2024
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NASerEx: Optimizing Early Exits via AutoML for Scalable Efficient Inference in Big Image Streams
Aakash Kapoor, Rajath Elias Soans, Soham Dixit, Pradeep NS, Brijraj Singh, Mayukh Das
IEEE Big Data 2023 | December 2023
Special session on Machine Learning on Big Data (MLBD)
-
AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement
Mayukh Das, Brijraj Singh, Harsh Kanti Chheda, Pawan Sharma, Pradeep NS
ICPR | August 2022
-
Beyond Simple Images: Human Knowledge-Guided GANs for Clinical Data Generation
Devendra Singh Dhami, Mayukh Das, Sriraam Natarajan
International Conference on Principles of Knowledge Representation and Reasoning (KR) | September 2021
-
Human-Guided Learning of Column Networks: Knowledge Injection for Relational Deep Learning
Mayukh Das, Devendra Singh Dhami, Yang Yu, Gautam Kunapuli, Sriraam Natarajan
CODS-COMAD | January 2021
-
Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs
Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan
AAAI | January 2019
-
Preference-Guided Planning: An Active Elicitation Approach
Mayukh Das, Phillip Odom, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan
17th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS) | July 2018
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-
-
Few-Shot Induction of Generalized Logical Concepts via Human Guidance
Mayukh Das, Nandini Ramanan, Janardhan Rao Doppa, Sriraam Natarajan
Frontiers in Robotics and AI | November 2020
-
Planning with actively eliciting preferences
Mayukh Das, Phillip Odom, Md. Rakibul Islam, Janardhan Rao Doppa, Dan Roth, Sriraam Natarajan
Knowledge Based Systems | February 2019, Vol 165: pp. 219-227
-