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.ME2024
Double Debiased Covariate Shift Adaptation Robust to Density-Ratio Estimation
Masahiro Kato, Kota Matsui, Ryo Inokuchi
Consider a scenario where we have access to train data with both covariates and outcomes while test data only contains covariates. In this scenario, our primary aim is to predict t…