56 citations · 205 across the 38 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
math.ST2020★ 1 cited
On Gaussian Approximation for M-Estimator
Masaaki Imaizumi, Taisuke Otsu
This study develops a non-asymptotic Gaussian approximation theory for distributions of M-estimators, which are defined as maximizers of empirical criterion functions. In existing…
stat.ML2020★ 12 cited
Advantage of Deep Neural Networks for Estimating Functions with Singularity on Hypersurfaces
Masaaki Imaizumi, Kenji Fukumizu
We develop a minimax rate analysis to describe the reason that deep neural networks (DNNs) perform better than other standard methods. For nonparametric regression problems, it is…
cs.LG2020★ 10 cited
Instrumental Variable Regression via Kernel Maximum Moment Loss
Rui Zhang, Masaaki Imaizumi, Bernhard Schölkopf +1
We investigate a simple objective for nonlinear instrumental variable (IV) regression based on a kernelized conditional moment restriction (CMR) known as a maximum moment restricti…