Takenouchi, Takashi

12 publications

JMLR 2022 Representation Learning for Maximization of MI, Nonlinear ICA and Nonlinear Subspaces with Robust Density Ratio Estimation Hiroaki Sasaki, Takashi Takenouchi

AISTATS 2021 Regret Minimization for Causal Inference on Large Treatment Space Akira Tanimoto, Tomoya Sakai, Takashi Takenouchi, Hisashi Kashima

ICML 2021 Lower-Bounded Proper Losses for Weakly Supervised Classification Shuhei M Yoshida, Takashi Takenouchi, Masashi Sugiyama

AISTATS 2020 A Unified Statistically Efficient Estimation Framework for Unnormalized Models Masatoshi Uehara, Takafumi Kanamori, Takashi Takenouchi, Takeru Matsuda

WACV 2020 Partially Zero-Shot Domain Adaptation from Incomplete Target Data with Missing Classes Masato Ishii, Takashi Takenouchi, Masashi Sugiyama

UAI 2020 Robust Contrastive Learning and Nonlinear ICA in the Presence of Outliers Hiroaki Sasaki, Takashi Takenouchi, Ricardo Monti, Aapo Hyvarinen

ACML 2019 Zero-Shot Domain Adaptation Based on Attribute Information Masato Ishii, Takashi Takenouchi, Masashi Sugiyama

JMLR 2017 Statistical Inference with Unnormalized Discrete Models and Localized Homogeneous Divergences Takashi Takenouchi, Takafumi Kanamori

NeurIPS 2015 Empirical Localization of Homogeneous Divergences on Discrete Sample Spaces Takashi Takenouchi, Takafumi Kanamori

MLJ 2011 Ternary Bradley-Terry Model-Based Decoding for Multi-Class Classification and Its Extensions Takashi Takenouchi, Shin Ishii

NeCo 2004 Information Geometry of U-Boost and Bregman Divergence Noboru Murata, Takashi Takenouchi, Takafumi Kanamori, Shinto Eguchi

NeCo 2004 Robustifying AdaBoost by Adding the Naive Error Rate Takashi Takenouchi, Shinto Eguchi