CORE: Resolving Code Quality Issues using LLMs
Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade (kanadeaditya), Suresh Parthasarathy (supartha), Sriram Rajamani (sriram)
FSE | July 2024
Nagarajan Natarajan
Principal Researcher
Publications
Publications by Year
-
Differentially Private Reward Estimation with Preference Feedback
Sayak Ray Chowdhury, Xingyu Zhou, Nagarajan Natarajan
AISTATS | May 2024
Provably Robust DPO: Aligning Language Models with Noisy Feedback
Sayak Ray Chowdhury, Anush Kini, Nagarajan Natarajan
ICML 2024 | May 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
NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade
February 2024
Preprint
-
Don’t Forget the User: It’s Time to Rethink Network Measurements
Rahul Bothra, Aryan Taneja, Debopam Bhattacherjee, Rohan Gandhi, Venkat Padmanabhan, Ranjita Bhagwan, Nagarajan Natarajan, Saikat Guha, Ross Cutler
ACM HotNets | November 2023
Frustrated with Code Quality Issues? LLMs can Help!
Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, Sriram Rajamani
September 2023
Combinatorial categorized bandits with expert rankings
Gaurav Sinha, Sayak Ray Chowdhury, Nagarajan Natarajan, Amit Sharma
UAI | July 2023
SelfTune: Tuning Cluster Managers
Ajaykrishna Karthikeyan, Nagarajan Natarajan, Gagan Somashekar, Lei Zhao, Ranjita Bhagwan, Rodrigo Fonseca, Tatiana Racheva, Yogesh Bansal
2023 Networked Systems Design and Implementation | April 2023
Simulating Network Paths with Recurrent Buffering Units
Divyam Anshumaan, Sriram Balasubramanian, Shubham Tiwari, Nagarajan Natarajan, Sundararajan Sellamanickam, Venkat Padmanabhan
The 37th AAAI Conference on Artificial Intelligence | February 2023
-
Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent
[Guest] Ajaykrishna Karthikeyan (ajaykrishna-karthikeyan), Naman Jain, Nagarajan Natarajan, Prateek Jain
Transactions on Machine Learning Research | September 2022
Data-Driven Network Path Simulation with iBox
Sachin Ashok, Shubham Tiwari, Nagarajan Natarajan, Venkat Padmanabhan, Sundararajan Sellamanickam
ACM SIGMETRICS | June 2022
Jigsaw: Large Language Models meet Program Synthesis
Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram Rajamani, Rahul Sharma
International Conference on Software Engineering (ICSE) | May 2022
-
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
-
Programming by Rewards
Nagarajan Natarajan, Ajaykrishna Karthikeyan, Prateek Jain, Ivan Radicek, Sriram Rajamani, Sumit Gulwani, Johannes Gehrke
July 2020
-
OASIS: ILP-Guided Synthesis of Loop Invariants
Sahil Bhatia, Saswat Padhi, Nagarajan Natarajan, Rahul Sharma, Prateek Jain
November 2019
Distributional Semantics Meets Multi-Label Learning
Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai
2019 National Conference on Artificial Intelligence | July 2019
Learning Natural Programs from a Few Examples in Real-Time
Nagarajan Natarajan, Danny Simmons, Naren Datha (narend), Prateek Jain, Sumit Gulwani
AIStats | January 2019
-
Learning from binary labels with instance-dependent noise
Aditya Krishna Menon, Brendan van Rooyen, Nagarajan Natarajan
Machine Learning | May 2018, Vol 107(8): pp. 1561-1595
-
Active Heteroscedastic Regression
Kamalika Chaudhuri, Prateek Jain, Nagarajan Natarajan
2017 International Conference on Machine Learning | July 2017
Consistency Analysis for Binary Classification Revisited
Krzysztof Dembczyński, Wojciech Kotłowski, Oluwasanmi Koyejo, Nagarajan Natarajan
2017 International Conference on Machine Learning | July 2017
-
Regret Bounds for Non-decomposable Metrics with Missing Labels
Nagarajan Natarajan, Prateek Jain
2016 Neural Information Processing Systems | December 2016
Publications by Research Area
-
CORE: Resolving Code Quality Issues using LLMs
Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade (kanadeaditya), Suresh Parthasarathy (supartha), Sriram Rajamani (sriram)
FSE | July 2024
Provably Robust DPO: Aligning Language Models with Noisy Feedback
Sayak Ray Chowdhury, Anush Kini, Nagarajan Natarajan
ICML 2024 | May 2024
Differentially Private Reward Estimation with Preference Feedback
Sayak Ray Chowdhury, Xingyu Zhou, Nagarajan Natarajan
AISTATS | May 2024
NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade
February 2024
Preprint
Frustrated with Code Quality Issues? LLMs can Help!
Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, Sriram Rajamani
September 2023
Combinatorial categorized bandits with expert rankings
Gaurav Sinha, Sayak Ray Chowdhury, Nagarajan Natarajan, Amit Sharma
UAI | July 2023
Simulating Network Paths with Recurrent Buffering Units
Divyam Anshumaan, Sriram Balasubramanian, Shubham Tiwari, Nagarajan Natarajan, Sundararajan Sellamanickam, Venkat Padmanabhan
The 37th AAAI Conference on Artificial Intelligence | February 2023
Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent
[Guest] Ajaykrishna Karthikeyan (ajaykrishna-karthikeyan), Naman Jain, Nagarajan Natarajan, Prateek Jain
Transactions on Machine Learning Research | September 2022
Jigsaw: Large Language Models meet Program Synthesis
Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram Rajamani, Rahul Sharma
International Conference on Software Engineering (ICSE) | May 2022
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
Programming by Rewards
Nagarajan Natarajan, Ajaykrishna Karthikeyan, Prateek Jain, Ivan Radicek, Sriram Rajamani, Sumit Gulwani, Johannes Gehrke
July 2020
OASIS: ILP-Guided Synthesis of Loop Invariants
Sahil Bhatia, Saswat Padhi, Nagarajan Natarajan, Rahul Sharma, Prateek Jain
November 2019
Distributional Semantics Meets Multi-Label Learning
Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai
2019 National Conference on Artificial Intelligence | July 2019
Learning Natural Programs from a Few Examples in Real-Time
Nagarajan Natarajan, Danny Simmons, Naren Datha (narend), Prateek Jain, Sumit Gulwani
AIStats | January 2019
Learning from binary labels with instance-dependent noise
Aditya Krishna Menon, Brendan van Rooyen, Nagarajan Natarajan
Machine Learning | May 2018, Vol 107(8): pp. 1561-1595
Active Heteroscedastic Regression
Kamalika Chaudhuri, Prateek Jain, Nagarajan Natarajan
2017 International Conference on Machine Learning | July 2017
Consistency Analysis for Binary Classification Revisited
Krzysztof Dembczyński, Wojciech Kotłowski, Oluwasanmi Koyejo, Nagarajan Natarajan
2017 International Conference on Machine Learning | July 2017
Regret Bounds for Non-decomposable Metrics with Missing Labels
Nagarajan Natarajan, Prateek Jain
2016 Neural Information Processing Systems | December 2016
-
CORE: Resolving Code Quality Issues using LLMs
Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade (kanadeaditya), Suresh Parthasarathy (supartha), Sriram Rajamani (sriram)
FSE | July 2024
NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade
February 2024
Preprint
Frustrated with Code Quality Issues? LLMs can Help!
Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, Sriram Rajamani
September 2023
Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent
[Guest] Ajaykrishna Karthikeyan (ajaykrishna-karthikeyan), Naman Jain, Nagarajan Natarajan, Prateek Jain
Transactions on Machine Learning Research | September 2022
Jigsaw: Large Language Models meet Program Synthesis
Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram Rajamani, Rahul Sharma
International Conference on Software Engineering (ICSE) | May 2022
Programming by Rewards
Nagarajan Natarajan, Ajaykrishna Karthikeyan, Prateek Jain, Ivan Radicek, Sriram Rajamani, Sumit Gulwani, Johannes Gehrke
July 2020
OASIS: ILP-Guided Synthesis of Loop Invariants
Sahil Bhatia, Saswat Padhi, Nagarajan Natarajan, Rahul Sharma, Prateek Jain
November 2019
Learning Natural Programs from a Few Examples in Real-Time
Nagarajan Natarajan, Danny Simmons, Naren Datha (narend), Prateek Jain, Sumit Gulwani
AIStats | January 2019
-
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
Don’t Forget the User: It’s Time to Rethink Network Measurements
Rahul Bothra, Aryan Taneja, Debopam Bhattacherjee, Rohan Gandhi, Venkat Padmanabhan, Ranjita Bhagwan, Nagarajan Natarajan, Saikat Guha, Ross Cutler
ACM HotNets | November 2023
SelfTune: Tuning Cluster Managers
Ajaykrishna Karthikeyan, Nagarajan Natarajan, Gagan Somashekar, Lei Zhao, Ranjita Bhagwan, Rodrigo Fonseca, Tatiana Racheva, Yogesh Bansal
2023 Networked Systems Design and Implementation | April 2023
Simulating Network Paths with Recurrent Buffering Units
Divyam Anshumaan, Sriram Balasubramanian, Shubham Tiwari, Nagarajan Natarajan, Sundararajan Sellamanickam, Venkat Padmanabhan
The 37th AAAI Conference on Artificial Intelligence | February 2023
Data-Driven Network Path Simulation with iBox
Sachin Ashok, Shubham Tiwari, Nagarajan Natarajan, Venkat Padmanabhan, Sundararajan Sellamanickam
ACM SIGMETRICS | June 2022
-
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
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
Publications by Type
-
NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade
February 2024
Preprint
OASIS: ILP-Guided Synthesis of Loop Invariants
Sahil Bhatia, Saswat Padhi, Nagarajan Natarajan, Rahul Sharma, Prateek Jain
November 2019
-
CORE: Resolving Code Quality Issues using LLMs
Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade (kanadeaditya), Suresh Parthasarathy (supartha), Sriram Rajamani (sriram)
FSE | July 2024
Provably Robust DPO: Aligning Language Models with Noisy Feedback
Sayak Ray Chowdhury, Anush Kini, Nagarajan Natarajan
ICML 2024 | May 2024
Differentially Private Reward Estimation with Preference Feedback
Sayak Ray Chowdhury, Xingyu Zhou, Nagarajan Natarajan
AISTATS | May 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
Don’t Forget the User: It’s Time to Rethink Network Measurements
Rahul Bothra, Aryan Taneja, Debopam Bhattacherjee, Rohan Gandhi, Venkat Padmanabhan, Ranjita Bhagwan, Nagarajan Natarajan, Saikat Guha, Ross Cutler
ACM HotNets | November 2023
Combinatorial categorized bandits with expert rankings
Gaurav Sinha, Sayak Ray Chowdhury, Nagarajan Natarajan, Amit Sharma
UAI | July 2023
SelfTune: Tuning Cluster Managers
Ajaykrishna Karthikeyan, Nagarajan Natarajan, Gagan Somashekar, Lei Zhao, Ranjita Bhagwan, Rodrigo Fonseca, Tatiana Racheva, Yogesh Bansal
2023 Networked Systems Design and Implementation | April 2023
Simulating Network Paths with Recurrent Buffering Units
Divyam Anshumaan, Sriram Balasubramanian, Shubham Tiwari, Nagarajan Natarajan, Sundararajan Sellamanickam, Venkat Padmanabhan
The 37th AAAI Conference on Artificial Intelligence | February 2023
Data-Driven Network Path Simulation with iBox
Sachin Ashok, Shubham Tiwari, Nagarajan Natarajan, Venkat Padmanabhan, Sundararajan Sellamanickam
ACM SIGMETRICS | June 2022
Jigsaw: Large Language Models meet Program Synthesis
Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram Rajamani, Rahul Sharma
International Conference on Software Engineering (ICSE) | May 2022
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
Distributional Semantics Meets Multi-Label Learning
Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai
2019 National Conference on Artificial Intelligence | July 2019
Learning Natural Programs from a Few Examples in Real-Time
Nagarajan Natarajan, Danny Simmons, Naren Datha (narend), Prateek Jain, Sumit Gulwani
AIStats | January 2019
Active Heteroscedastic Regression
Kamalika Chaudhuri, Prateek Jain, Nagarajan Natarajan
2017 International Conference on Machine Learning | July 2017
Consistency Analysis for Binary Classification Revisited
Krzysztof Dembczyński, Wojciech Kotłowski, Oluwasanmi Koyejo, Nagarajan Natarajan
2017 International Conference on Machine Learning | July 2017
Regret Bounds for Non-decomposable Metrics with Missing Labels
Nagarajan Natarajan, Prateek Jain
2016 Neural Information Processing Systems | December 2016
-
Frustrated with Code Quality Issues? LLMs can Help!
Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, Sriram Rajamani
September 2023
Programming by Rewards
Nagarajan Natarajan, Ajaykrishna Karthikeyan, Prateek Jain, Ivan Radicek, Sriram Rajamani, Sumit Gulwani, Johannes Gehrke
July 2020
-
Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent
[Guest] Ajaykrishna Karthikeyan (ajaykrishna-karthikeyan), Naman Jain, Nagarajan Natarajan, Prateek Jain
Transactions on Machine Learning Research | September 2022
Learning from binary labels with instance-dependent noise
Aditya Krishna Menon, Brendan van Rooyen, Nagarajan Natarajan
Machine Learning | May 2018, Vol 107(8): pp. 1561-1595