Stabilizing Bandits using Regularization: Precise Regret and A Quantitative Central Limit Theorem

Budhaditya Halder, Ishan Sengupta, Koustav Chowdhury +2

Statistical inference with bandit data presents fundamental challenges owing to adaptive sampling, which violates the independence assumptions underlying classical asymptotic theor…