An $(ε,δ)$-accurate level set estimation with a stopping criterion

• URL: http://arxiv.org/abs/2503.20272v1
• Date: Wed, 26 Mar 2025 06:41:07 GMT
• Title: An $(ε,δ)$-accurate level set estimation with a stopping criterion
• Authors: Hideaki Ishibashi, Kota Matsui, Kentaro Kutsukake, Hideitsu Hino,
• Abstract summary: This paper introduces an acquisition strategy for level set estimation that incorporates a stopping criterion.<n>We show that our method satisfies $epsilon$-accuracy with a confidence level of $1 - delta$, addressing a key gap in existing approaches.
• Score: 2.5124069610074895
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The level set estimation problem seeks to identify regions within a set of candidate points where an unknown and costly to evaluate function's value exceeds a specified threshold, providing an efficient alternative to exhaustive evaluations of function values. Traditional methods often use sequential optimization strategies to find $\epsilon$-accurate solutions, which permit a margin around the threshold contour but frequently lack effective stopping criteria, leading to excessive exploration and inefficiencies. This paper introduces an acquisition strategy for level set estimation that incorporates a stopping criterion, ensuring the algorithm halts when further exploration is unlikely to yield improvements, thereby reducing unnecessary function evaluations. We theoretically prove that our method satisfies $\epsilon$-accuracy with a confidence level of $1 - \delta$, addressing a key gap in existing approaches. Furthermore, we show that this also leads to guarantees on the lower bounds of performance metrics such as F-score. Numerical experiments demonstrate that the proposed acquisition function achieves comparable precision to existing methods while confirming that the stopping criterion effectively terminates the algorithm once adequate exploration is completed.

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