Nagarajan Natarajan

22 papers · 2013–2025 · 8 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (53) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird

🌱 Topic Pioneer 🔬 Deep Specialist (10) 🏆 Keyword Champion 🧭 Keyword Pioneer 📈 Trend Setter 🚀 Conference Pioneer 🗃️ Keyword Collector (128) 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🌈 Renaissance Researcher (7)

Venues

ICML (7) NeurIPS (5) AAAI (2) AISTATS (2) JMLR (2) NSDI (2) ACL (1) UAI (1)

Top co-authors

Prateek Jain (6) Ambuj Tewari (4) Pradeep K Ravikumar (3) Sayak Ray Chowdhury (3) Inderjit S Dhillon (3) Ranjita Bhagwan (2) Oluwasanmi Koyejo (2) Oluwasanmi O Koyejo (2) Inderjit S. Dhillon (2) Inderjit Dhillon (2)

Research topics

Machine Learning (21) Core Methods (15) Learning Types · Machine Learning (13) Optimization & Theory (12) Deep Learning (4) Mathematics & Optimization (4) Application Areas (4) Learning Types · Deep Learning (4) Optimization (4) Artificial Intelligence (3) Reinforcement Learning (3) Core AI (3) Computer Science (2) Data Science & Analytics (2) Applications (2)

Keywords

binary classification (4) multi-label classification (4) surrogate loss (3) regret bound (3) multi-label learning (2) reinforcement learning (2) pu learning (2) label noise (2) positive-unlabeled learning (2) non-decomposable metric (2) noisy label (2) link prediction (2) online learning (2) preference learning (1) sequential decision making (1) collaborative filtering (1) statistical consistency (1) representation learning (1) statistical learning theory (1) information retrieval (1)

Papers

NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits ICML 2025 Task Facet Learning: A Structured Approach To Prompt Optimization ACL 2025 Differentially Private Reward Estimation with Preference Feedback AISTATS 2024 OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy NSDI 2024 Provably Robust DPO: Aligning Language Models with Noisy Feedback ICML 2024 Combinatorial categorized bandits with expert rankings UAI 2023 SelfTune: Tuning Cluster Managers NSDI 2023 Simulating Network Paths with Recurrent Buffering Units AAAI 2023 Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization ICML 2021 Distributional Semantics Meets Multi-Label Learning AAAI 2019 Learning Natural Programs from a Few Examples in Real-Time AISTATS 2019 Cost-Sensitive Learning with Noisy Labels JMLR 2018 Active Heteroscedastic Regression ICML 2017 Consistency Analysis for Binary Classification Revisited ICML 2017 Optimal Classification with Multivariate Losses ICML 2016 Regret Bounds for Non-decomposable Metrics with Missing Labels NeurIPS 2016 Consistent Multilabel Classification NeurIPS 2015 Predtron: A Family of Online Algorithms for General Prediction Problems NeurIPS 2015 PU Learning for Matrix Completion ICML 2015 Consistent Binary Classification with Generalized Performance Metrics NeurIPS 2014 Prediction and Clustering in Signed Networks: A Local to Global Perspective JMLR 2014 Learning with Noisy Labels NeurIPS 2013