| 2021 | AISTATS | Regret Minimization for Causal Inference on Large Treatment Space. | Akira Tanimoto, Tomoya Sakai, Takashi Takenouchi, Hisashi Kashima |
| 2021 | ICML | Lower-Bounded Proper Losses for Weakly Supervised Classification. | Shuhei M. Yoshida, Takashi Takenouchi, Masashi Sugiyama |
| 2021 | PAKDD | Causal Combinatorial Factorization Machines for Set-Wise Recommendation. | Akira Tanimoto, Tomoya Sakai, Takashi Takenouchi, Hisashi Kashima |
| 2020 | AISTATS | A Unified Statistically Efficient Estimation Framework for Unnormalized Models. | Masatoshi Uehara, Takafumi Kanamori, Takashi Takenouchi, Takeru Matsuda |
| 2020 | WACV | Partially Zero-shot Domain Adaptation from Incomplete Target Data with Missing Classes. | Masato Ishii, Takashi Takenouchi, Masashi Sugiyama |
| 2020 | UAI | Robust contrastive learning and nonlinear ICA in the presence of outliers. | Hiroaki Sasaki, Takashi Takenouchi, Ricardo Pio Monti, Aapo Hyvrinen |
| 2019 | ACML | Zero-shot Domain Adaptation Based on Attribute Information. | Masato Ishii, Takashi Takenouchi, Masashi Sugiyama |
| 2015 | IJCNN | Non-negative Matrix Factorization based on γ-divergence. | Kohei Machida, Takashi Takenouchi |
| 2012 | ICONIP | A Unified Framework of Binary Classifiers Ensemble for Multi-class Classification. | Takashi Takenouchi, Shin Ishii |
| 2010 | ICANN | Theoretical Analysis of Cross-Validation(CV)-EM Algorithm. | Takashi Takenouchi, Kazushi Ikeda |
| 2010 | ICDM | Exponential Family Tensor Factorization for Missing-Values Prediction and Anomaly Detection. | Kohei Hayashi, Takashi Takenouchi, Tomohiro Shibata, Yuki Kamiya, Daishi Kato, Kazuo Kunieda, Keiji Yamada, Kazushi Ikeda |
| 2007 | ICONIP | Bayesian Collaborative Predictors for General User Modeling Tasks. | Junichiro Hirayama, Masashi Nakatomi, Takashi Takenouchi, Shin Ishii |
| 2007 | IJCNN | A probabilistic decoding approach to multi-class classification. | Takashi Takenouchi, Shin Ishii |
| 2005 | BIBE | GroupAdaBoost for Selecting Important Genes. | Takashi Takenouchi, Masaru Ushijima, Shinto Eguchi |
| 2004 | ICONIP | The Most Robust Loss Function for Boosting. | Takafumi Kanamori, Takashi Takenouchi, Shinto Eguchi, Noboru Murata |