Masaaki Imaizumi
Masaaki Imaizumi
Verified email at g.ecc.u-tokyo.ac.jp - Homepage
Title
Cited by
Cited by
Year
Deep neural networks learn non-smooth functions effectively
M Imaizumi, K Fukumizu
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
562019
Adaptive Approximation and Generalization of Deep Neural Network with Intrinsic Dimensionality
R Nakada, M Imaizumi
Journal of Machine Learning Research 21 (174), 1-38, 2020
29*2020
PCA-based estimation for functional linear regression with functional responses
M Imaizumi, K Kato
Journal of multivariate analysis 163, 15-36, 2018
232018
Doubly decomposing nonparametric tensor regression
M Imaizumi, K Hayashi
International Conference on Machine Learning, 727-736, 2016
182016
On tensor train rank minimization: Statistical efficiency and scalable algorithm
M Imaizumi, T Maehara, K Hayashi
arXiv preprint arXiv:1708.00132, 2017
162017
Tensor decomposition with smoothness
M Imaizumi, K Hayashi
International Conference on Machine Learning, 1597-1606, 2017
102017
On random subsampling of Gaussian process regression: A graphon-based analysis
K Hayashi, M Imaizumi, Y Yoshida
International Conference on Artificial Intelligence and Statistics, 2055-2065, 2020
62020
Statistically efficient estimation for non-smooth probability densities
M Imaizumi, T Maehara, Y Yoshida
International Conference on Artificial Intelligence and Statistics, 978-987, 2018
42018
Finite sample analysis of minimax offline reinforcement learning: Completeness, fast rates and first-order efficiency
M Uehara, M Imaizumi, N Jiang, N Kallus, W Sun, T Xie
arXiv preprint arXiv:2102.02981, 2021
32021
Maximum Moment Restriction for Instrumental Variable Regression
R Zhang, M Imaizumi, B Schölkopf, K Muandet
arXiv preprint arXiv:2010.07684, 2020
32020
Improved generalization bound of permutation invariant deep neural networks
A Sannai, M Imaizumi
32019
Advantage of Deep Neural Networks for Estimating Functions with Singularity on Curves
M Imaizumi, K Fukumizu
arXiv preprint arXiv:2011.02256, 2020
22020
Improved Generalization Bound of Group Invariant/Equivariant Deep Networks via Quotient Feature Space
A Sannai, M Imaizumi
arXiv preprint arXiv:1910.06552, 2019
22019
Understanding Higher-order Structures in Evolving Graphs: A Simplicial Complex based Kernel Estimation Approach
M Kaul, M Imaizumi
arXiv preprint arXiv:2102.03609, 2021
12021
Hypothesis Test and Confidence Analysis with Wasserstein Distance with General Dimension
M Imaizumi, H Ota, T Hamaguchi
arXiv preprint arXiv:1910.07773, 2019
12019
A simple method to construct confidence bands in functional linear regression
M Imaizumi, K Kato
Statistica Sinica 29 (4), 2055-2081, 2019
12019
Understanding GANs via Generalization Analysis for Disconnected Support
M Imaizumi, K Fukumizu
12018
Factorized Asymptotic Bayesian Policy Search for POMDPs.
M Imaizumi, R Fujimaki
IJCAI, 4346-4352, 2017
12017
Instrument Space Selection for Kernel Maximum Moment Restriction
R Zhang, K Muandet, B Schölkopf, M Imaizumi
arXiv preprint arXiv:2106.03340, 2021
2021
Fast Convergence on Perfect Classification for Functional Data
T Wakayama, M Imaizumi
arXiv preprint arXiv:2104.02978, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–20