Sharp Non-Asymptotic Analysis of the Penalized Challenger in beta-EB-TCI for Bernoulli Bandits

arXiv:2610.01951 · cs.LG, stat.ML · Submitted 2026-10-01 · Read on arXiv

cs.LG, stat.ML

Submitted: 2026-10-01

Updated: 2026-10-01

Terminology

• Benchmark — 17× in this paper · explained in 2 episodes
• Ablation — 11× in this paper · explained in 1 episode
• Core — 6× in this paper · explained in 2 episodes
• Non-asymptotic Analysis — 5× in this paper · explained in 2 episodes
• Adaptive Sampling — 4× in this paper · explained in 1 episode
• Sample Complexity — 4× in this paper · explained in 15 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Institutional Review Board — 2× in this paper
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes

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