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Ambuj Tewari
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Ambuj Tewari15 visible / 15 total nodes / 27 links

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Co-authorshipAuthorshipAuthorshipWorks onAuthorshipWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalAmbuj TewariAAmbuj TewariResearcherOnline Conformal Prediction: Enforcing monotonicity via Online OptimizationWOnline Conformal Predic...preprint / 2026Eduardo Ochoa RiveraAEduardo Ochoa RiveraResearcherGeneralization error bounds for learning to rank: Does the length of document lists matter?WGeneralization error bo...preprint / 2016On Lipschitz Continuity and Smoothness of Loss Functions in Learning to RankWOn Lipschitz Continuity...preprint / 2016Machine LearningTMachine Learning49008 worksOn Learnability under General Stochastic ProcessesWOn Learnability under G...preprint / 2022Balancing Adaptability and Non-exploitability in Repeated GamesWBalancing Adaptability ...preprint / 2022What You See May Not Be What You Get: UCB Bandit Algorithms Robust to ε-ContaminationWWhat You See May Not Be...preprint / 2020No-regret Exploration in Contextual Reinforcement LearningWNo-regret Exploration i...preprint / 2020Reinforcement Learning in Factored MDPs: Oracle-Efficient Algorithms and Tighter Regret Bounds for the Non-Episodic SettingWReinforcement Learning ...preprint / 2020On Adaptive Linear-Quadratic RegulatorsWOn Adaptive Linear-Quad...preprint / 2020Input Perturbations for Adaptive Control and LearningWInput Perturbations for...preprint / 2020Orthogonal Matching Pursuit with ReplacementWOrthogonal Matching Pur...preprint / 2011REGAL: A Regularization based Algorithm for Reinforcement Learning in Weakly Communicating MDPsWREGAL: A Regularization...preprint / 2012
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Ambuj Tewari

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PaperOnline Conformal Prediction: Enforcing monotonicity via Online OptimizationAuthorship / preprint / 2026PersonEduardo Ochoa RiveraCo-authorship / ResearcherPaperGeneralization error bounds for learning to rank: Does the length of document lists matter?Authorship / preprint / 2016PaperOn Lipschitz Continuity and Smoothness of Loss Functions in Learning to RankAuthorship / preprint / 2016TopicMachine LearningWorks on / 49008 worksPaperOn Learnability under General Stochastic ProcessesAuthorship / preprint / 2022PaperBalancing Adaptability and Non-exploitability in Repeated GamesAuthorship / preprint / 2022PaperWhat You See May Not Be What You Get: UCB Bandit Algorithms Robust to ε-ContaminationAuthorship / preprint / 2020

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