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stat.ML2022★ 1 cited
A Simple and Optimal Policy Design with Safety against Heavy-Tailed Risk for Stochastic Bandits
David Simchi-Levi, Zeyu Zheng, Feng Zhu
We study the stochastic multi-armed bandit problem and design new policies that enjoy both worst-case optimality for expected regret and light-tailed risk for regret distribution.…
math.ST2022
Optimal Learning Rates for Regularized Least-Squares with a Fourier Capacity Condition
Prem Talwai, David Simchi-Levi
We derive minimax adaptive rates for a new, broad class of Tikhonov-regularized learning problems in Hilbert scales under general source conditions. Our analysis does not require t…