Nagarajan Natarajan
22 papers · 2013–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (8)
π
Interdisciplinary Bridge
π
Conference Polyglot
(8)
π
Academic Marathon
(12)
π¬
Deep Specialist
(10)
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(114)
π
Century Club
(22)
π₯
Unstoppable
(7)
π
Trend Setter
π
Conference Pioneer
Conferences
ICML (7)
NIPS (5)
AAAI (2)
AISTATS (2)
JMLR (2)
NSDI (2)
ACL (1)
UAI (1)
Top co-authors
Research topics
Keywords
binary classification
(4)
multi-label classification
(3)
regret bound
(3)
surrogate loss
(3)
online learning
(2)
pu learning
(2)
multilabel classification
(2)
label noise
(2)
link prediction
(2)
non-decomposable metric
(2)
reinforcement learning
(2)
noisy label
(2)
preference learning
(1)
sequential decision making
(1)
collaborative filtering
(1)
multi-label learning
(1)
statistical consistency
(1)
representation learning
(1)
statistical learning theory
(1)
convex optimization
(1)
Papers
Task Facet Learning: A Structured Approach To Prompt Optimization
ACL 2025
NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits
ICML 2025
OPPerTune: Post-Deployment Configuration Tuning of Services Made Easy
NSDI 2024
Differentially Private Reward Estimation with Preference Feedback
AISTATS 2024
Provably Robust DPO: Aligning Language Models with Noisy Feedback
ICML 2024
Combinatorial categorized bandits with expert rankings
UAI 2023
Simulating Network Paths with Recurrent Buffering Units
AAAI 2023
SelfTune: Tuning Cluster Managers
NSDI 2023
Optimal regret algorithm for Pseudo-1d Bandit Convex Optimization
ICML 2021
Learning Natural Programs from a Few Examples in Real-Time
AISTATS 2019
Distributional Semantics Meets Multi-Label Learning
AAAI 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
NIPS 2016
PU Learning for Matrix Completion
ICML 2015
Consistent Multilabel Classification
NIPS 2015
Predtron: A Family of Online Algorithms for General Prediction Problems
NIPS 2015
Prediction and Clustering in Signed Networks: A Local to Global Perspective
JMLR 2014
Consistent Binary Classification with Generalized Performance Metrics
NIPS 2014
Learning with Noisy Labels
NIPS 2013