2 papers
stat.ML2026
An -accurate level set estimation with a stopping criterion
Hideaki Ishibashi, Kota Matsui, Kentaro Kutsukake +1
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,…
stat.ML2024
Active Learning for Level Set Estimation Using Randomized Straddle Algorithms
Yu Inatsu, Shion Takeno, Kentaro Kutsukake +1
Level set estimation (LSE), the problem of identifying the set of input points where a function takes value above (or below) a given threshold, is important in practical applicatio…