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Jian Qian

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Convex and Non-Convex Optimization under Generalized Smoothness

Jun 02, 2023
Haochuan Li, Jian Qian, Yi Tian, Alexander Rakhlin, Ali Jadbabaie

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A Note on Model-Free Reinforcement Learning with the Decision-Estimation Coefficient

Nov 25, 2022
Dylan J. Foster, Noah Golowich, Jian Qian, Alexander Rakhlin, Ayush Sekhari

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Byzantine-Robust Federated Linear Bandits

Apr 03, 2022
Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian

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The Statistical Complexity of Interactive Decision Making

Dec 27, 2021
Dylan J. Foster, Sham M. Kakade, Jian Qian, Alexander Rakhlin

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Robust learning under clean-label attack

Mar 03, 2021
Avrim Blum, Steve Hanneke, Jian Qian, Han Shao

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Stochastic Bandits with Vector Losses: Minimizing $\ell^\infty$-Norm of Relative Losses

Oct 15, 2020
Xuedong Shang, Han Shao, Jian Qian

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Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes

Jun 24, 2020
Yi Tian, Jian Qian, Suvrit Sra

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Concentration Inequalities for Multinoulli Random Variables

Jan 30, 2020
Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric

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Importance Resampling for Off-policy Prediction

Jun 11, 2019
Matthew Schlegel, Wesley Chung, Daniel Graves, Jian Qian, Martha White

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Exploration Bonus for Regret Minimization in Undiscounted Discrete and Continuous Markov Decision Processes

Dec 11, 2018
Jian Qian, Ronan Fruit, Matteo Pirotta, Alessandro Lazaric

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