Nagarajan Natarajan

65 papers A* 10A 6B 1Misc 4Journal 36Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	interwhen: A Generalizable Framework for Verifiable Reasoning with Test-time Monitors. CoRR Vishak K. Bhat, Prateek Chanda, Ashmit Khandelwal, Maitreyi Swaroop, Vineeth N. Balasubramanian, Subbarao Kambhampati, Nagarajan Natarajan, Amit Sharma
2025	J	`jnl`	Characterizing Deep Research: A Benchmark and Formal Definition. CoRR Abhinav Java, Ashmit Khandelwal, Sukruta Prakash Midigeshi, Aaron Halfaker, Amit Deshpande, Navin Goyal, Ankur Gupta, Nagarajan Natarajan, Amit Sharma
2025	J	`jnl`	Code Researcher: Deep Research Agent for Large Systems Code and Commit History. CoRR Ramneet Singh, Sathvik Joel, Abhav Mehrotra, Nalin Wadhwa, Ramakrishna B. Bairi, Aditya Kanade, Nagarajan Natarajan
2025	J	`jnl`	FrugalRAG: Learning to retrieve and reason for multi-hop QA. CoRR Abhinav Java, Srivathsan Koundinyan, Nagarajan Natarajan, Amit Sharma
2025	A*	`conf`	NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits. ICML Tushar Aggarwal, Swayam Singh, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan
2025	J	`jnl`	Robust Learning of Diverse Code Edits. CoRR Tushar Aggarwal, Swayam Singh, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan
2025	—	`conf`	Task Facet Learning: A Structured Approach To Prompt Optimization. ACL (Findings) Gurusha Juneja, Gautam Jajoo, Hua Li, Jian Jiao, Nagarajan Natarajan, Amit Sharma
2024	J	`jnl`	ASTRA: Accurate and Scalable ANNS-based Training of Extreme Classifiers. CoRR Sonu Mehta, Jayashree Mohan, Nagarajan Natarajan, Ramachandran Ramjee, Manik Varma
2024	J	`jnl`	CORE: Resolving Code Quality Issues using LLMs. Proc. ACM Softw. Eng. Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, Sriram K. Rajamani
2024	J	`jnl`	CROSS-JEM: Accurate and Efficient Cross-encoders for Short-text Ranking Tasks. CoRR Bhawna Paliwal, Deepak Saini, Mudit Dhawan, Siddarth Asokan, Nagarajan Natarajan, Surbhi Aggarwal, Pankaj Malhotra, Jian Jiao, Manik Varma
2024	A	`conf`	Differentially Private Reward Estimation with Preference Feedback. AISTATS Sayak Ray Chowdhury, Xingyu Zhou, Nagarajan Natarajan
2024	J	`jnl`	MASAI: Modular Architecture for Software-engineering AI Agents. CoRR Daman Arora, Atharv Sonwane, Nalin Wadhwa, Abhav Mehrotra, Saiteja Utpala, Ramakrishna Bairi, Aditya Kanade, Nagarajan Natarajan
2024	J	`jnl`	NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness. CoRR Manav Singhal, Tushar Aggarwal, Abhijeet Awasthi, Nagarajan Natarajan, Aditya Kanade
2024	Misc	`conf`	OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy. NSDI Gagan Somashekar, Karan Tandon, Anush Kini, Chieh-Chun Chang, Petr Husak, Ranjita Bhagwan, Mayukh Das, Anshul Gandhi, Nagarajan Natarajan
2024	J	`jnl`	Plan⨉RAG: Planning-guided Retrieval Augmented Generation. CoRR Prakhar Verma, Sukruta Prakash Midigeshi, Gaurav Sinha, Arno Solin, Nagarajan Natarajan, Amit Sharma
2024	A*	`conf`	Provably Robust DPO: Aligning Language Models with Noisy Feedback. ICML Sayak Ray Chowdhury, Anush Kini, Nagarajan Natarajan
2024	J	`jnl`	Provably Robust DPO: Aligning Language Models with Noisy Feedback. CoRR Sayak Ray Chowdhury, Anush Kini, Nagarajan Natarajan
2024	J	`jnl`	Task Facet Learning: A Structured Approach to Prompt Optimization. CoRR Gurusha Juneja, Nagarajan Natarajan, Hua Li, Jian Jiao, Amit Sharma
2023	A	`conf`	Combinatorial categorized bandits with expert rankings. UAI Sayak Ray Chowdhury, Gaurav Sinha, Nagarajan Natarajan, Amit Sharma
2023	J	`jnl`	Differentially Private Reward Estimation with Preference Feedback. CoRR Sayak Ray Chowdhury, Xingyu Zhou, Nagarajan Natarajan
2023	Misc	`conf`	Don't Forget the User: It's Time to Rethink Network Measurements. HotNets Aryan Taneja, Rahul Bothra, Debopam Bhattacherjee, Rohan Gandhi, Venkata N. Padmanabhan, Ranjita Bhagwan, Nagarajan Natarajan, Saikat Guha, Ross Cutler
2023	J	`jnl`	Frustrated with Code Quality Issues? LLMs can Help! CoRR Nalin Wadhwa, Jui Pradhan, Atharv Sonwane, Surya Prakash Sahu, Nagarajan Natarajan, Aditya Kanade, Suresh Parthasarathy, Sriram K. Rajamani
2023	J	`jnl`	GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval. CoRR Daman Arora, Anush Kini, Sayak Ray Chowdhury, Nagarajan Natarajan, Gaurav Sinha, Amit Sharma
2023	Misc	`conf`	SelfTune: Tuning Cluster Managers. NSDI Ajaykrishna Karthikeyan, Nagarajan Natarajan, Gagan Somashekar, Lei Zhao, Ranjita Bhagwan, Rodrigo Fonseca, Tatiana Racheva, Yogesh Bansal
2023	A*	`conf`	Simulating Network Paths with Recurrent Buffering Units. AAAI Divyam Anshumaan, Sriram Balasubramanian, Shubham Tiwari, Nagarajan Natarajan, Sundararajan Sellamanickam, Venkat N. Padmanabhan
2023	J	`jnl`	StaticFixer: From Static Analysis to Static Repair. CoRR Naman Jain, Shubham Gandhi, Atharv Sonwane, Aditya Kanade, Nagarajan Natarajan, Suresh Parthasarathy, Sriram K. Rajamani, Rahul Sharma
2022	—	`conf`	Data-Driven Network Path Simulation with iBox. SIGMETRICS (Abstracts) Sachin Ashok, Shubham Tiwari, Nagarajan Natarajan, Venkata N. Padmanabhan, Sundararajan Sellamanickam
2022	J	`jnl`	Data-Driven Network Path Simulation with iBox. Proc. ACM Meas. Anal. Comput. Syst. Sachin Ashok, Shubham Tiwari, Nagarajan Natarajan, Venkata N. Padmanabhan, Sundararajan Sellamanickam
2022	A*	`conf`	Jigsaw: Large Language Models meet Program Synthesis. ICSE Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram K. Rajamani, Rahul Sharma
2022	J	`jnl`	Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent. Trans. Mach. Learn. Res. Ajaykrishna Karthikeyan, Naman Jain, Nagarajan Natarajan, Prateek Jain
2022	J	`jnl`	Simulating Network Paths with Recurrent Buffering Units. CoRR Divyam Anshumaan, Sriram Balasubramanian, Shubham Tiwari, Nagarajan Natarajan, Sundararajan Sellamanickam, Venkata N. Padmanabhan
2021	J	`jnl`	Jigsaw: Large Language Models meet Program Synthesis. CoRR Naman Jain, Skanda Vaidyanath, Arun Iyer, Nagarajan Natarajan, Suresh Parthasarathy, Sriram K. Rajamani, Rahul Sharma
2021	J	`jnl`	Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent. CoRR Ajaykrishna Karthikeyan, Naman Jain, Nagarajan Natarajan, Prateek Jain
2021	J	`jnl`	Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization. CoRR Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain
2021	A*	`conf`	Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization. ICML Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain
2020	J	`jnl`	Programming by Rewards. CoRR Nagarajan Natarajan, Ajaykrishna Karthikeyan, Prateek Jain, Ivan Radicek, Sriram K. Rajamani, Sumit Gulwani, Johannes Gehrke
2020	Misc	`conf`	iBox: Internet in a Box. HotNets Sachin Ashok, Sai Surya Duvvuri, Nagarajan Natarajan, Venkata N. Padmanabhan, Sundararajan Sellamanickam, Johannes Gehrke
2019	A*	`conf`	Distributional Semantics Meets Multi-Label Learning. AAAI Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai
2019	A	`conf`	Learning Natural Programs from a Few Examples in Real-Time. AISTATS Nagarajan Natarajan, Danny Simmons, Naren Datha, Prateek Jain, Sumit Gulwani
2019	J	`jnl`	OASIS: ILP-Guided Synthesis of Loop Invariants. CoRR Sahil Bhatia, Saswat Padhi, Nagarajan Natarajan, Rahul Sharma, Prateek Jain
2018	J	`jnl`	Learning from binary labels with instance-dependent noise. Mach. Learn. Aditya Krishna Menon, Brendan van Rooyen, Nagarajan Natarajan
2017	A*	`conf`	Active Heteroscedastic Regression. ICML Kamalika Chaudhuri, Prateek Jain, Nagarajan Natarajan
2017	A*	`conf`	Consistency Analysis for Binary Classification Revisited. ICML Krzysztof Dembczynski, Wojciech Kotlowski, Oluwasanmi Koyejo, Nagarajan Natarajan
2017	J	`jnl`	Cost-Sensitive Learning with Noisy Labels. J. Mach. Learn. Res. Nagarajan Natarajan, Inderjit S. Dhillon, Pradeep Ravikumar, Ambuj Tewari
2017	J	`jnl`	Leveraging Distributional Semantics for Multi-Label Learning. CoRR Rahul Wadbude, Vivek Gupta, Piyush Rai, Nagarajan Natarajan, Harish Karnick
2016	J	`jnl`	Learning from Binary Labels with Instance-Dependent Corruption. CoRR Aditya Krishna Menon, Brendan van Rooyen, Nagarajan Natarajan
2016	A*	`conf`	Optimal Classification with Multivariate Losses. ICML Nagarajan Natarajan, Oluwasanmi Koyejo, Pradeep Ravikumar, Inderjit S. Dhillon
2016	—	`conf`	Regret Bounds for Non-decomposable Metrics with Missing Labels. NIPS Nagarajan Natarajan, Prateek Jain
2016	J	`jnl`	Regret Bounds for Non-decomposable Metrics with Missing Labels. CoRR Prateek Jain, Nagarajan Natarajan
2015	—	`conf`	Consistent Multilabel Classification. NIPS Oluwasanmi Koyejo, Nagarajan Natarajan, Pradeep Ravikumar, Inderjit S. Dhillon
2015	J	`jnl`	Optimal Decision-Theoretic Classification Using Non-Decomposable Performance Metrics. CoRR Nagarajan Natarajan, Oluwasanmi Koyejo, Pradeep Ravikumar, Inderjit S. Dhillon
2015	A*	`conf`	PU Learning for Matrix Completion. ICML Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit S. Dhillon
2015	—	`conf`	PU matrix completion with graph information. CAMSAP Nagarajan Natarajan, Nikhil Rao, Inderjit S. Dhillon
2015	—	`conf`	Predtron: A Family of Online Algorithms for General Prediction Problems. NIPS Prateek Jain, Nagarajan Natarajan, Ambuj Tewari
2014	—	`conf`	Consistent Binary Classification with Generalized Performance Metrics. NIPS Oluwasanmi Koyejo, Nagarajan Natarajan, Pradeep Ravikumar, Inderjit S. Dhillon
2014	J	`jnl`	Inductive matrix completion for predicting gene-disease associations. Bioinform. Nagarajan Natarajan, Inderjit S. Dhillon
2014	J	`jnl`	PU Learning for Matrix Completion. CoRR Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit S. Dhillon
2014	J	`jnl`	Prediction and clustering in signed networks: a local to global perspective. J. Mach. Learn. Res. Kai-Yang Chiang, Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit S. Dhillon, Ambuj Tewari
2013	B	`conf`	Community detection in content-sharing social networks. ASONAM Nagarajan Natarajan, Prithviraj Sen, Vineet Chaoji
2013	—	`conf`	Learning with Noisy Labels. NIPS Nagarajan Natarajan, Inderjit S. Dhillon, Pradeep Ravikumar, Ambuj Tewari
2013	J	`jnl`	Prediction and Clustering in Signed Networks: A Local to Global Perspective CoRR Kai-Yang Chiang, Cho-Jui Hsieh, Nagarajan Natarajan, Ambuj Tewari, Inderjit S. Dhillon
2013	A	`conf`	Which app will you use next?: collaborative filtering with interactional context. RecSys Nagarajan Natarajan, Donghyuk Shin, Inderjit S. Dhillon
2011	A	`conf`	Exploiting longer cycles for link prediction in signed networks. CIKM Kai-Yang Chiang, Nagarajan Natarajan, Ambuj Tewari, Inderjit S. Dhillon
2011	J	`jnl`	Scalable Affiliation Recommendation using Auxiliary Networks. ACM Trans. Intell. Syst. Technol. Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Berkant Savas, Inderjit S. Dhillon
2010	A	`conf`	Affiliation recommendation using auxiliary networks. RecSys Vishvas Vasuki, Nagarajan Natarajan, Zhengdong Lu, Inderjit S. Dhillon