Natarajan, Nagarajan

24 publications

ICML 2025 NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits Tushar Aggarwal, Swayam Singh, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan

ICLRW 2025 NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits Tushar Aggarwal, Swayam Singh, Abhijeet Awasthi, Aditya Kanade, Nagarajan Natarajan

ICLRW 2025 Plan$^\ast$RAG: Efficient Test-Time Planning for Retrieval Augmented Generation Prakhar Verma, Sukruta Prakash Midigeshi, Gaurav Sinha, Arno Solin, Nagarajan Natarajan, Amit Sharma

AISTATS 2024 Differentially Private Reward Estimation with Preference Feedback Sayak Ray Chowdhury, Xingyu Zhou, Nagarajan Natarajan

NeurIPSW 2024 MASAI: Modular Architecture for Software-Engineering AI Agents Nalin Wadhwa, Atharv Sonwane, Daman Arora, Abhav Mehrotra, Saiteja Utpala, Ramakrishna B Bairi, Aditya Kanade, Nagarajan Natarajan

ICML 2024 Provably Robust DPO: Aligning Language Models with Noisy Feedback Sayak Ray Chowdhury, Anush Kini, Nagarajan Natarajan

UAI 2023 Combinatorial Categorized Bandits with Expert Rankings Sayak Ray Chowdhury, Gaurav Sinha, Nagarajan Natarajan, Amit Sharma

AAAI 2023 Simulating Network Paths with Recurrent Buffering Units Divyam Anshumaan, Sriram Balasubramanian, Shubham Tiwari, Nagarajan Natarajan, Sundararajan Sellamanickam, Venkat N. Padmanabhan

TMLR 2022 Learning Accurate Decision Trees with Bandit Feedback via Quantized Gradient Descent Ajaykrishna Karthikeyan, Naman Jain, Nagarajan Natarajan, Prateek Jain

ICML 2021 Optimal Regret Algorithm for Pseudo-1d Bandit Convex Optimization Aadirupa Saha, Nagarajan Natarajan, Praneeth Netrapalli, Prateek Jain

NeurIPSW 2020 Oasis: ILP-Guided Synthesis of Loop Invariants Sahil Bhatia, Saswat Padhi, Nagarajan Natarajan, Rahul Sharma, Prateek Jain

AAAI 2019 Distributional Semantics Meets Multi-Label Learning Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai

AISTATS 2019 Learning Natural Programs from a Few Examples in Real-Time Nagarajan Natarajan, Danny Simmons, Naren Datha, Prateek Jain, Sumit Gulwani

MLJ 2018 Learning from Binary Labels with Instance-Dependent Noise Aditya Krishna Menon, Brendan van Rooyen, Nagarajan Natarajan

ICML 2017 Active Heteroscedastic Regression Kamalika Chaudhuri, Prateek Jain, Nagarajan Natarajan

ICML 2017 Consistency Analysis for Binary Classification Revisited Krzysztof Dembczyński, Wojciech Kotłowski, Oluwasanmi Koyejo, Nagarajan Natarajan

ICML 2016 Optimal Classification with Multivariate Losses Nagarajan Natarajan, Oluwasanmi Koyejo, Pradeep Ravikumar, Inderjit Dhillon

NeurIPS 2016 Regret Bounds for Non-Decomposable Metrics with Missing Labels Nagarajan Natarajan, Prateek Jain

NeurIPS 2015 Consistent Multilabel Classification Oluwasanmi O Koyejo, Nagarajan Natarajan, Pradeep K Ravikumar, Inderjit S Dhillon

ICML 2015 PU Learning for Matrix Completion Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit Dhillon

NeurIPS 2015 Predtron: A Family of Online Algorithms for General Prediction Problems Prateek Jain, Nagarajan Natarajan, Ambuj Tewari

NeurIPS 2014 Consistent Binary Classification with Generalized Performance Metrics Oluwasanmi O Koyejo, Nagarajan Natarajan, Pradeep K Ravikumar, Inderjit S Dhillon

JMLR 2014 Prediction and Clustering in Signed Networks: A Local to Global Perspective Kai-Yang Chiang, Cho-Jui Hsieh, Nagarajan Natarajan, Inderjit S. Dhillon, Ambuj Tewari

NeurIPS 2013 Learning with Noisy Labels Nagarajan Natarajan, Inderjit S Dhillon, Pradeep K Ravikumar, Ambuj Tewari