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Let ϕ, Φ denote the PDF, CDF of N(0,1), let δ:=µ 1 −ε−ˆµ1,n >0 · 2016

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Finite-Time Regret Analysis of Retry-Aware Bandits

cs.LG · 2026-05-20 · unverdicted · novelty 7.0

ReMax achieves the first sublinear regret bound for Gaussian rewards at M=2 by characterizing the optimal sampling distribution via an expected-improvement balance condition and separating saturation from underestimation effects.

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  • Finite-Time Regret Analysis of Retry-Aware Bandits cs.LG · 2026-05-20 · unverdicted · none · ref 16

    ReMax achieves the first sublinear regret bound for Gaussian rewards at M=2 by characterizing the optimal sampling distribution via an expected-improvement balance condition and separating saturation from underestimation effects.