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The sample complexity of level set approximation

Abstract : We study the problem of approximating the level set of an unknown function by sequentially querying its values. We introduce a family of algorithms called Bisect and Approximate through which we reduce the level set approximation problem to a local function approximation problem. We then show how this approach leads to rate-optimal sample complexity guarantees for Hölder functions, and we investigate how such rates improve when additional smoothness or other structural assumptions hold true.
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Contributor : François Bachoc Connect in order to contact the contributor
Submitted on : Thursday, February 11, 2021 - 12:33:48 PM
Last modification on : Thursday, September 22, 2022 - 10:44:04 AM


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  • HAL Id : hal-02976018, version 2
  • ARXIV : 2010.13405


François Bachoc, Tommaso R Cesari, Sébastien Gerchinovitz. The sample complexity of level set approximation. AISTATS 2021, Apr 2021, virtual, United States. pp.424-432. ⟨hal-02976018v2⟩



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