Yoichi Chikahara, Makoto Yamada, Hisashi Kashima. Feature selection for discovering distributional treatment effect modifiers. Uncertainty in Artificial Intelligence(UAI). 2022. 400-410
Yanbin Liu, Makoto Yamada, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang. LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2021. 12975. 655-670
Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada. Computationally Efficient Wasserstein Loss for Structured Labels. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop. 2021. 1-7
Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada. Computationally Efficient Wasserstein Loss for Structured Labels. CoRR. 2021. abs/2103.00899