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08/10/2023
Unifying Distributionally Robust Optimization via Optimal Transport Theory
In the past few years, there has been considerable interest in two promi...
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02/15/2023
Optimal Sample Complexity of Reinforcement Learning for Uniformly Ergodic Discounted Markov Decision Processes
We consider the optimal sample complexity theory of tabular reinforcemen...
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12/26/2022
Doubly Smoothed GDA: Global Convergent Algorithm for Constrained Nonconvex-Nonconcave Minimax Optimization
Nonconvex-nonconcave minimax optimization has been the focus of intense ...
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02/13/2022
Surgical Scheduling via Optimization and Machine Learning with Long-Tailed Data
Using data from cardiovascular surgery patients with long and highly var...
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03/08/2021
No Discounted-Regret Learning in Adversarial Bandits with Delays
Consider a player that in each round t out of T rounds chooses an action...
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01/07/2019
