Mayukh Das

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

The Eighth Annual Conference on Machine Learning and Systems (MLSys) | May 2025

Publication

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

33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024

PDF

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

Publication

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

Preprint

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

Publication Publication Github Projet Projet

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)

Publication

AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement

Mayukh Das, Brijraj Singh, Harsh Kanti Chheda, Pawan Sharma, Pradeep NS

ICPR | August 2022

Publication

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

Publication

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

Publication

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

Publication

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

Publication

Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs

Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan

AAAI | January 2019

Publication

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

Publication Publication

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

The Eighth Annual Conference on Machine Learning and Systems (MLSys) | May 2025

Publication

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

33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024

PDF

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

Preprint

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)

Publication

AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement

Mayukh Das, Brijraj Singh, Harsh Kanti Chheda, Pawan Sharma, Pradeep NS

ICPR | August 2022

Publication

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

Publication

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

Publication

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

Publication

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

Publication

Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs

Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan

AAAI | January 2019

Publication

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

Publication Publication

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

The Eighth Annual Conference on Machine Learning and Systems (MLSys) | May 2025

Publication

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

33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024

PDF

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

Publication

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

Preprint

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

Publication Publication Github Projet Projet

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)

Publication

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

Publication Publication Github Projet Projet

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)

Publication

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

Publication Publication

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

The Eighth Annual Conference on Machine Learning and Systems (MLSys) | May 2025

Publication

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

33rd ACM International Conference on Information and Knowledge Management (CIKM) | October 2024

PDF

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

Publication

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

Preprint

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

Publication Publication Github Projet Projet

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)

Publication

AutoCoMet: Smart Neural Architecture Search via Co-Regulated Shaping Reinforcement

Mayukh Das, Brijraj Singh, Harsh Kanti Chheda, Pawan Sharma, Pradeep NS

ICPR | August 2022

Publication

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

Publication

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

Publication

Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs

Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan

AAAI | January 2019

Publication

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

Publication Publication

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

Publication

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

Publication