6 citations · 6 across the 1 of their papers we have counts for
2 papers
stat.ML2019★ 6 cited
Bayesian Active Learning for Structured Output Design
Kota Matsui, Shunya Kusakawa, Keisuke Ando +3
In this paper, we propose an active learning method for an inverse problem that aims to find an input that achieves a desired structured-output. The proposed method provides new ac…
stat.ML2018
Variable Selection for Nonparametric Learning with Power Series Kernels
Kota Matsui, Wataru Kumagai, Kenta Kanamori +2
In this paper, we propose a variable selection method for general nonparametric kernel-based estimation. The proposed method consists of two-stage estimation: (1) construct a consi…