Nagarajan Natarajan

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 38

Top Topics

Matrix Completion

Multilabel Classification

Top Venues

Publications

Sayak Ray Chowdhury, Xingyu Zhou, Nagarajan Natarajan
Differentially Private Reward Estimation with Preference Feedback. AISTATS (2024)
Gurusha Juneja, Nagarajan Natarajan, Hua Li, Jian Jiao, Amit Sharma
Task Facet Learning: A Structured Approach to Prompt Optimization. CoRR (2024)
Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan
OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy. NSDI (2024)
Daman Arora, Atharv Sonwane, Nalin Wadhwa, Abhav Mehrotra, Saiteja Utpala, Ramakrishna Bairi, Aditya Kanade, Nagarajan Natarajan
MASAI: Modular Architecture for Software-engineering AI Agents. CoRR (2024)
Sayak Ray Chowdhury, Anush Kini, Nagarajan Natarajan
Provably Robust DPO: Aligning Language Models with Noisy Feedback. CoRR (2024)
Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade
NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness. CoRR (2024)
Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, Sriram K. Rajamani
CORE: Resolving Code Quality Issues using LLMs. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Sayak Ray Chowdhury, Gaurav Sinha, Nagarajan Natarajan, Amit Sharma
Combinatorial categorized bandits with expert rankings. UAI (2023)
Daman Arora, Anush Kini, Sayak Ray Chowdhury, Nagarajan Natarajan, Gaurav Sinha, Amit Sharma
GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval. CoRR (2023)
Ajaykrishna Karthikeyan, Nagarajan Natarajan, Gagan Somashekar, Lei Zhao, Ranjita Bhagwan, Rodrigo Fonseca, Tatiana Racheva, Yogesh Bansal
SelfTune: Tuning Cluster Managers. NSDI (2023)
Divyam Anshumaan, Sriram Balasubramanian, Shubham Tiwari, Nagarajan Natarajan, Sundararajan Sellamanickam, Venkat N. Padmanabhan
Simulating Network Paths with Recurrent Buffering Units. AAAI (2023)
Naman Jain, Shubham Gandhi, Atharv Sonwane, Aditya Kanade, Nagarajan Natarajan, Suresh Parthasarathy, Sriram K. Rajamani, Rahul Sharma
StaticFixer: From Static Analysis to Static Repair. CoRR (2023)
Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, Sriram K. Rajamani
Frustrated with Code Quality Issues? LLMs can Help! CoRR (2023)
Aryan Taneja, Rahul Bothra, Debopam Bhattacherjee, Rohan Gandhi, Venkata N. Padmanabhan, Ranjita Bhagwan, Nagarajan Natarajan, Saikat Guha, Ross Cutler
Don't Forget the User: It's Time to Rethink Network Measurements. HotNets (2023)
Sayak Ray Chowdhury, Xingyu Zhou, Nagarajan Natarajan
Differentially Private Reward Estimation with Preference Feedback. CoRR (2023)
Ajaykrishna Karthikeyan, Naman Jain, Nagarajan Natarajan, Prateek Jain
Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent. Trans. Mach. Learn. Res. 2022 (2022)
Sachin Ashok, Shubham Tiwari, Nagarajan Natarajan, Venkata N. Padmanabhan, Sundararajan Sellamanickam
Data-Driven Network Path Simulation with iBox. Proc. ACM Meas. Anal. Comput. Syst. 6 (1) (2022)
Sachin Ashok, Shubham Tiwari, Nagarajan Natarajan, Venkata N. Padmanabhan, Sundararajan Sellamanickam
Data-Driven Network Path Simulation with iBox. SIGMETRICS (Abstracts) (2022)
Naman Jain, Skanda Vaidyanath, Arun Shankar Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram K. Rajamani, Rahul Sharma
Jigsaw: Large Language Models meet Program Synthesis. ICSE (2022)
Divyam Anshumaan, Sriram Balasubramanian, Shubham Tiwari, Nagarajan Natarajan, Sundararajan Sellamanickam, Venkata N. Padmanabhan
Simulating Network Paths with Recurrent Buffering Units. CoRR (2022)
Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain
Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization. ICML (2021)
Ajaykrishna Karthikeyan, Naman Jain, Nagarajan Natarajan, Prateek Jain
Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent. CoRR (2021)
Naman Jain, Skanda Vaidyanath, Arun Shankar Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram K. Rajamani, Rahul Sharma
Jigsaw: Large Language Models meet Program Synthesis. CoRR (2021)
Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain
Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization. CoRR (2021)
Nagarajan Natarajan, Ajaykrishna Karthikeyan, Prateek Jain, Ivan Radicek, Sriram K. Rajamani, Sumit Gulwani, Johannes Gehrke
Programming by Rewards. CoRR (2020)
Sachin Ashok, Sai Surya Duvvuri, Nagarajan Natarajan, Venkata N. Padmanabhan, Sundararajan Sellamanickam, Johannes Gehrke
iBox: Internet in a Box. HotNets (2020)
Sahil Bhatia, Saswat Padhi, Nagarajan Natarajan, Rahul Sharma, Prateek Jain
OASIS: ILP-Guided Synthesis of Loop Invariants. CoRR (2019)
Nagarajan Natarajan, Danny Simmons, Naren Datha, Prateek Jain, Sumit Gulwani
Learning Natural Programs from a Few Examples in Real-Time. AISTATS (2019)
Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai
Distributional Semantics Meets Multi-Label Learning. AAAI (2019)
Aditya Krishna Menon, Brendan van Rooyen, Nagarajan Natarajan
Learning from binary labels with instance-dependent noise. Mach. Learn. 107 (8-10) (2018)
Rahul Wadbude, Vivek Gupta, Piyush Rai, Nagarajan Natarajan, Harish Karnick
Leveraging Distributional Semantics for Multi-Label Learning. CoRR (2017)
Nagarajan Natarajan, Inderjit S. Dhillon, Pradeep Ravikumar, Ambuj Tewari
Cost-Sensitive Learning with Noisy Labels. J. Mach. Learn. Res. 18 (2017)
Kamalika Chaudhuri, Prateek Jain, Nagarajan Natarajan
Active Heteroscedastic Regression. ICML (2017)
Krzysztof Dembczynski, Wojciech Kotlowski, Oluwasanmi Koyejo, Nagarajan Natarajan
Consistency Analysis for Binary Classification Revisited. ICML (2017)
Nagarajan Natarajan, Prateek Jain
Regret Bounds for Non-decomposable Metrics with Missing Labels. NIPS (2016)
Aditya Krishna Menon, Brendan van Rooyen, Nagarajan Natarajan
Learning from Binary Labels with Instance-Dependent Corruption. CoRR (2016)
Nagarajan Natarajan, Oluwasanmi Koyejo, Pradeep Ravikumar, Inderjit S. Dhillon
Optimal Classification with Multivariate Losses. ICML (2016)
Prateek Jain, Nagarajan Natarajan
Regret Bounds for Non-decomposable Metrics with Missing Labels. CoRR (2016)
Oluwasanmi Koyejo, Nagarajan Natarajan, Pradeep Ravikumar, Inderjit S. Dhillon
Consistent Multilabel Classification. NIPS (2015)
Nagarajan Natarajan, Nikhil Rao, Inderjit S. Dhillon
PU matrix completion with graph information. CAMSAP (2015)
Prateek Jain, Nagarajan Natarajan, Ambuj Tewari
Predtron: A Family of Online Algorithms for General Prediction Problems. NIPS (2015)
Nagarajan Natarajan, Oluwasanmi Koyejo, Pradeep Ravikumar, Inderjit S. Dhillon
Optimal Decision-Theoretic Classification Using Non-Decomposable Performance Metrics. CoRR (2015)
Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit S. Dhillon
PU Learning for Matrix Completion. ICML (2015)
Nagarajan Natarajan, Inderjit S. Dhillon
Inductive matrix completion for predicting gene-disease associations. Bioinform. 30 (12) (2014)
Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit S. Dhillon
PU Learning for Matrix Completion. CoRR (2014)
Oluwasanmi Koyejo, Nagarajan Natarajan, Pradeep Ravikumar, Inderjit S. Dhillon
Consistent Binary Classification with Generalized Performance Metrics. NIPS (2014)
Kai-Yang Chiang, Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit S. Dhillon, Ambuj Tewari
Prediction and clustering in signed networks: a local to global perspective. J. Mach. Learn. Res. 15 (1) (2014)
Kai-Yang Chiang, Cho-Jui Hsieh, Nagarajan Natarajan, Ambuj Tewari, Inderjit S. Dhillon
Prediction and Clustering in Signed Networks: A Local to Global Perspective CoRR (2013)
Nagarajan Natarajan, Inderjit S. Dhillon, Pradeep Ravikumar, Ambuj Tewari
Learning with Noisy Labels. NIPS (2013)
Nagarajan Natarajan, Donghyuk Shin, Inderjit S. Dhillon
Which app will you use next?: collaborative filtering with interactional context. RecSys (2013)
Nagarajan Natarajan, Prithviraj Sen, Vineet Chaoji
Community detection in content-sharing social networks. ASONAM (2013)
Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Berkant Savas, Inderjit S. Dhillon
Scalable Affiliation Recommendation using Auxiliary Networks. ACM Trans. Intell. Syst. Technol. 3 (1) (2011)
Kai-Yang Chiang, Nagarajan Natarajan, Ambuj Tewari, Inderjit S. Dhillon
Exploiting longer cycles for link prediction in signed networks. CIKM (2011)
Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Inderjit S. Dhillon
Affiliation recommendation using auxiliary networks. RecSys (2010)