Hiroyuki Kasai

发表

Riemannian stochastic variance reduced gradient on Grassmann manifold pdf

Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra, 2016, ArXiv.

MOD法プリカーサ薄膜の減圧焼成で得たVO x 薄膜の特性評価;MOD法プリカーサ薄膜の減圧焼成で得たVO x 薄膜の特性評価;Evaluation of Characteristics in VO x Thin Films Obtained by Reduced-Pressure Firing of Precursor Films Fabricated by MOD

Hiroyuki Kasai, T. Uchida, T. Tachiki, 2015 .

Block-coordinate Frank-Wolfe algorithm and convergence analysis for semi-relaxed optimal transport problem

Hiroyuki Kasai, Takumi Fukunaga, 2022, ICASSP.

On the Convergence of Semi-Relaxed Sinkhorn with Marginal Constraint and OT Distance Gaps

Hiroyuki Kasai, Takumi Fukunaga, 2022, ArXiv.

Wasserstein Graph Distance based on L1-Approximated Tree Edit Distance between Weisfeiler-Lehman Subtrees

Hiroyuki Kasai, Zhongxi Fang, Jianming Huang, 2022, ArXiv.

A Riemannian gossip approach to subspace learning on Grassmann manifold

Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria, 2017, Machine Learning.

Auto-weighted Sequential Wasserstein Distance and Application to Sequence Matching

Hiroyuki Kasai, Mitsuhiko Horie, 2022, 2022 30th European Signal Processing Conference (EUSIPCO).

Consistency-aware and Inconsistency-aware Graph-based Multi-view Clustering

Hiroyuki Kasai, Mitsuhiko Horie, Hiroyuki Kasai, 2020, 2020 28th European Signal Processing Conference (EUSIPCO).

Multi-View Wasserstein Discriminant Analysis with Entropic Regularized Wasserstein Distance

Hiroyuki Kasai, Hiroyuki Kasai, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Stochastic Variance Reduced Multiplicative Update for Nonnegative Matrix Factorization

Hiroyuki Kasai, Hiroyuki Kasai, 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fast block-coordinate Frank-Wolfe algorithm for semi-relaxed optimal transport pdf

Hiroyuki Kasai, Takumi Fukunaga, Hiroyuki Kasai, 2021, ArXiv.

McTorch, a manifold optimization library for deep learning pdf

Hiroyuki Kasai, Bamdev Mishra, Anoop Kunchukuttan, 2018, ArXiv.

Riemannian adaptive stochastic gradient algorithms on matrix manifolds

Hiroyuki Kasai, Bamdev Mishra, Pratik Jawanpuria, 2019, ICML.

Riemannian stochastic variance reduced gradient

Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra, 2016, SIAM J. Optim..

Wasserstein k-means with sparse simplex projection pdf

Hiroyuki Kasai, Takumi Fukunaga, Hiroyuki Kasai, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

Riemannian Stochastic Recursive Gradient Algorithm

Bamdev Mishra, Hiroyuki Sato, Hiroyuki Kasai, 2018, ICML 2018.

Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis

Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra, 2017, AISTATS.

Inexact trust-region algorithms on Riemannian manifolds

Hiroyuki Kasai, Bamdev Mishra, Bamdev Mishra, 2018, NeurIPS.

Anomaly Detection and Identification in Large-scale Networks based on Online Time-structured Traffic Tensor Tracking

Wolfgang Kellerer, Hiroyuki Kasai, Martin Kleinsteuber, 2016 .

FAST OPTIMIZATION ALGORITHM ON COMPLEX OBLIQUE MANIFOLD FOR HYBRID PRECODING IN MILLIMETER WAVE MIMO SYSTEMS

Hiroyuki Kasai, Hiroyuki Kasai, 2018, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Low-rank tensor completion: a Riemannian manifold preconditioning approach pdf

Hiroyuki Kasai, Bamdev Mishra, Bamdev Mishra, 2016, ICML.

Wasserstein Graph Distance based on L1-Approximated Tree Edit Distance between Weisfeiler-Lehman Subtrees

Hiroyuki Kasai, Zhongxi Fang, Jianming Huang, 2022, ArXiv.

Riemannian optimization on the simplex of positive definite matrices pdf

Hiroyuki Kasai, Bamdev Mishra, Pratik Jawanpuria, 2019, ArXiv.

Sparse representation based classification with intra-class variation dictionary on symmetric positive definite manifolds

Hiroyuki Kasai, Kohei Yoshikawa, Hiroyuki Kasai, 2017, 2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).

LCS Graph Kernel Based on Wasserstein Distance in Longest Common Subsequence Metric Space

Zhongxi Fang, Jianming Huang, Hiroyuki Kasai, 2020, Signal Process..

Graph Embedding using Multi-Layer Adjacent Point Merging Model

Hiroyuki Kasai, Jianming Huang, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Adaptive stochastic gradient algorithms on Riemannian manifolds pdf

Hiroyuki Kasai, Bamdev Mishra, Pratik Jawanpuria, 2019, ICML 2019.

A Riemannian gossip approach to subspace learning on Grassmann manifold

Hiroyuki Kasai, Bamdev Mishra, Pratik Jawanpuria, 2017, Machine Learning.

A Riemannian gossip approach to decentralized subspace learning on Grassmann manifold pdf

Hiroyuki Kasai, Bamdev Mishra, Pratik Jawanpuria, 2017, ArXiv.

Fast online low-rank tensor subspace tracking by CP decomposition using recursive least squares from incomplete observations pdf

Hiroyuki Kasai, Hiroyuki Kasai, 2017, Neurocomputing.

Online low-rank tensor subspace tracking from incomplete data by CP decomposition using recursive least squares

Hiroyuki Kasai, Hiroyuki Kasai, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Riemannian Stochastic Recursive Gradient Algorithm with Retraction and Vector Transport and Its Convergence Analysis

Hiroyuki Kasai, Hiroyuki Sato, Bamdev Mishra, 2018, ICML.

Supplementary Material : Riemannian Stochastic Recursive Gradient Algorithm

Bamdev Mishra, Hiroyuki Sato, Hiroyuki Kasai, 2018 .

A Riemannian gossip approach to decentralized matrix completion pdf

Hiroyuki Kasai, Bamdev Mishra, Atul Saroop, 2016, ArXiv.

A Riemannian approach to low-rank tensor learning

Bamdev Mishra, Hiroyuki Kasai, Pratik Jawanpuria, 2022, Tensors for Data Processing.

Safe Screening for Unbalanced Optimal Transport

Hiroyuki Kasai, Zhongxi Fang, Xun Su, 2023, ArXiv.