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On Instability of Minimax Optimal Optimism-Based Bandit Algorithms
Samya Praharaj, Koulik Khamaru
Statistical inference from data generated by multi-armed bandit (MAB) algorithms is challenging due to their adaptive, non-i.i.d. nature. A classical manifestation is that sample a…
stat.ML2025
Stable Thompson Sampling: Valid Inference via Variance Inflation
Budhaditya Halder, Shubhayan Pan, Koulik Khamaru
We consider the problem of statistical inference when the data is collected via a Thompson Sampling-type algorithm. While Thompson Sampling (TS) is known to be both asymptotically…