8 citations · 48 across the 17 of their papers we have counts for
5 papers · 1 filter
Universal Approximation Theorem for Equivariant Maps by Group CNNs
Wataru Kumagai, Akiyoshi Sannai
Group symmetry is inherent in a wide variety of data distributions. Data processing that preserves symmetry is described as an equivariant map and often effective in achieving high…
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…
Regret Analysis for Continuous Dueling Bandit
Wataru Kumagai
The dueling bandit is a learning framework wherein the feedback information in the learning process is restricted to a noisy comparison between a pair of actions. In this research,…
Learning Bound for Parameter Transfer Learning
Wataru Kumagai
We consider a transfer-learning problem by using the parameter transfer approach, where a suitable parameter of feature mapping is learned through one task and applied to another o…
Parallel Distributed Block Coordinate Descent Methods based on Pairwise Comparison Oracle
Kota Matsui, Wataru Kumagai, Takafumi Kanamori
This paper provides a block coordinate descent algorithm to solve unconstrained optimization problems. In our algorithm, computation of function values or gradients is not required…