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A positive resolution of the gap-entropy conjecture

Paper recorded by Signals 4 on 2026-09-09 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-09 on arXiv · recorded by Signals 4 on 2026-09-10

Category: cs.LG · 机器学习 · first seen 2026-09-10

Abstract

We prove the gap-entropy conjecture for fixed-confidence best-arm identification with independent unit-variance Gaussian arms, means in $[0,1]$, and a unique optimal arm. For each suboptimal arm $i$, let $Δ_i=μ_*-μ_i$ be its gap from the optimal mean, and write $H=\sum_{i\ne *}Δ_i^{-2}$. Let $p_r$ be the fraction of $H$ contributed by arms with $2^{-(r+1)}<Δ_i\le2^{-r}$, and let $\mathrm{Ent}(I)=\

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#80 most recent of 215 cs.LG papers we have recorded · ↑ newer: Likelihood-free inference with nuisance parameters through normalizing · ↓ older: Characterizing Language Generation in the Limit: Finite Witnesses and
Cite this page: A positive resolution of the gap-entropy conjecture: the #80 most recent of 215 cs.LG papers we have recorded (as of 2026-09-09). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/a-positive-resolution-of-the-gap-entropy-conjecture.html
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