Publications

Group highlights

(For a full list see below)

 

Full List

Yao-Hung Hubert Tsai, Han Zhao, Makoto Yamada, Louis-Philippe Morency, Ruslan Salakhutdinov
Neural Methods for Point-wise Dependency Estimation
NeurIPS 2020

Ryoma Sato, Makoto Yamada, Hisashi Kashima
Fast Unbalanced Optimal Transport on Tree
NeurIPS 2020

Luu Huu Phuc, Koh Takeuchi, Makoto Yamada, Hisashi Kashima
Simultaneous Link Prediction on Unaligned Networks Using Graph Embedding and Optimal Transport
DSAA, 2020

Yanbin Liu, Linchao Zhu, Makoto Yamada, Yi Yang
Semantic Correspondence as an Optimal Transport Problem
CVPR 2020

Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada
Topological Bayesian Optimization with Persistence Diagrams
ECAI 2020

Benjamin Poignard, Makoto Yamada
Sparse Hilbert-Schmidt Independence Criterion Regression
AISTATS 2020

Jenning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira
More Powerful Selective Kernel Tests for Feature Selection
AISTATS 2020

Qiang Huang, TingYu Xia, HuiYan Sun, Makoto Yamada, Yi Chang
Unsupervised Nonlinear Feature Selection from High-dimensional Signed Networks
AAAI 2020

Ryoma Sato, Makoto Yamada, Hisashi Kashima
Approximation Ratios of Graph Neural Networks for Combinatorial Problems
NeurIPS 2019

Tam Le, Makoto Yamada, Kenji Fukumizu, Marco Cuturi
Tree-Sliced Variants of Wasserstein Distances
NeurIPS 2019

Jenning Lim, Makoto Yamada, Bernhard Schoelkopf, Wittawat Jitkrittum
Kernel Stein Tests for Multiple Model Comparison
NeurIPS 2019

Ryoma Sato, Makoto Yamada, Hisashi Kashima
Learning to Sample Hard Instances for Graph Algorithms
ACML 2019

Yao-Hung Hubert Tsai, Shaojie Bai, Makoto Yamada, Louis-Philippe Morency and Ruslan Salakhutdinov.
Empirical Study of Transformer’s Attention Mechanism via the Lens of Kernel
EMNLP 2019