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06/02/2023
Convex and Non-Convex Optimization under Generalized Smoothness
Classical analysis of convex and non-convex optimization methods often r...
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11/25/2022
A Note on Model-Free Reinforcement Learning with the Decision-Estimation Coefficient
We consider the problem of interactive decision making, encompassing str...
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04/03/2022
Byzantine-Robust Federated Linear Bandits
In this paper, we study a linear bandit optimization problem in a federa...
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12/27/2021
The Statistical Complexity of Interactive Decision Making
A fundamental challenge in interactive learning and decision making, ran...
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03/01/2021
Robust learning under clean-label attack
We study the problem of robust learning under clean-label data-poisoning...
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10/15/2020
Stochastic Bandits with Vector Losses: Minimizing ℓ^∞-Norm of Relative Losses
Multi-armed bandits are widely applied in scenarios like recommender sys...
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06/24/2020
Towards Minimax Optimal Reinforcement Learning in Factored Markov Decision Processes
We study minimax optimal reinforcement learning in episodic factored Mar...
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01/30/2020
Concentration Inequalities for Multinoulli Random Variables
We investigate concentration inequalities for Dirichlet and Multinomial ...
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06/11/2019
Importance Resampling for Off-policy Prediction
Importance sampling (IS) is a common reweighting strategy for off-policy...
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12/11/2018