2 papers
math.ST2026
Bootstrap Error Estimation and Sketch-Size Selection for Sketched Ridge Regression
Akito Narahara, Takayuki Kawashima, Takafumi Kanamori
Randomized sketching reduces the computational cost of large ridge-regression problems, but the coefficient error depends on the realized sketch. We extend the paired-row bootstrap…
cs.LG2026
Mixture Proportion Estimation and Weakly-supervised Kernel Test for Conditional Independence
Yushi Hirose, Akito Narahara, Takafumi Kanamori
Mixture proportion estimation (MPE) aims to estimate class priors from unlabeled data. This task is a critical component in weakly supervised learning, such as PU learning, learnin…