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math.ST2026
Is Spectral Self-Supervised Learning a Minimax Optimal Method of Density Ratio Estimation?
Hiroki Waida, Takafumi Kanamori
Spectral self-supervised learning is a method of density ratio estimation for the setting in which only samples drawn from the joint density of the numerator are available. The met…
math.ST2025
Statistical learnability of smooth boundaries via pairwise binary classification with deep ReLU networks
Hiroki Waida, Takafumi Kanamori
The topic of nonparametric estimation of smooth boundaries is extensively studied in the conventional setting where pairs of single covariate and response variable are observed. Ho…