| 2025 | ACL | Theoretical Guarantees for Minimum Bayes Risk Decoding. | Yuki Ichihara, Yuu Jinnai, Kaito Ariu, Tetsuro Morimura, Eiji Uchibe |
| 2025 | CIKM | Latent Variable Modeling for Robust Causal Effect Estimation. | Tetsuro Morimura, Tatsushi Oka, Yugo Suzuki, Daisuke Moriwaki |
| 2025 | NAACL | Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment. | Yuu Jinnai, Tetsuro Morimura, Kaito Ariu, Kenshi Abe |
| 2024 | ACL | Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding. | Yuu Jinnai, Ukyo Honda, Tetsuro Morimura, Peinan Zhang |
| 2024 | EMNLP | Filtered Direct Preference Optimization. | Tetsuro Morimura, Mitsuki Sakamoto, Yuu Jinnai, Kenshi Abe, Kaito Ariu |
| 2024 | ICLR | Safe Collaborative Filtering. | Riku Togashi, Tatsushi Oka, Naoto Ohsaka, Tetsuro Morimura |
| 2024 | ICML | Model-Based Minimum Bayes Risk Decoding for Text Generation. | Yuu Jinnai, Tetsuro Morimura, Ukyo Honda, Kaito Ariu, Kenshi Abe |
| 2024 | NAACL | On the True Distribution Approximation of Minimum Bayes-Risk Decoding. | Atsumoto Ohashi, Ukyo Honda, Tetsuro Morimura, Yuu Jinnai |
| 2024 | NAACL | Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation. | Hao Wang, Tetsuro Morimura, Ukyo Honda, Daisuke Kawahara |
| 2016 | ICPR | Unsupervised object counting without object recognition. | Takayuki Katsuki, Tetsuro Morimura, Tsuyoshi Id |
| 2016 | IJCAI | Weight Features for Predicting Future Model Performance of Deep Neural Networks. | Yasunori Yamada, Tetsuro Morimura |
| 2016 | ICPR | Automated help system for novice older users from touchscreen gestures. | Daisuke Sato, Tetsuro Morimura, Takayuki Katsuki, Yosuke Toyota, Tsuneo Kato, Hironobu Takagi |
| 2015 | AISTATS | A Consistent Method for Graph Based Anomaly Localization. | Satoshi Hara, Tetsuro Morimura, Toshihiro Takahashi, Hiroki Yanagisawa, Taiji Suzuki |
| 2015 | AISTATS | Predicting Preference Reversals via Gaussian Process Uncertainty Aversion. | Rikiya Takahashi, Tetsuro Morimura |
| 2014 | AAAI | Mixing-Time Regularized Policy Gradient. | Tetsuro Morimura, Takayuki Osogami, Tomoyuki Shirai |
| 2014 | ECAI | Probabilistic Two-Level Anomaly Detection for Correlated Systems. | Bin Tong, Tetsuro Morimura, Einoshin Suzuki, Tsuyoshi Id |
| 2014 | WSC | Predicting halfway through simulation: early scenario evaluation using intermediate features of agent-based simulations. | Satoshi Hara, Rudy Raymond, Tetsuro Morimura, Hidemasa Muta |
| 2014 | WSC | Frugal signal control using low resolution web-camera and traffic flow estimation. | Kumiko Maeda, Tetsuro Morimura, Takayuki Katsuki, Masayoshi Teraguchi |
| 2014 | WSC | A multi-objective genetic algorithm using intermediate features of simulations. | Hidemasa Muta, Rudy Raymond, Satoshi Hara, Tetsuro Morimura |
| 2012 | AAAI | Time-Consistency of Optimization Problems. | Takayuki Osogami, Tetsuro Morimura |
| 2012 | ICPR | Temporal feature selection for time-series prediction. | Shohei Hido, Tetsuro Morimura |
| 2012 | ICPR | Statistical Origin-destination generation with multiple sources. | Tetsuro Morimura, Sei Kato |
| 2012 | ICPR | Map matching with Hidden Markov Model on sampled road network. | Rudy Raymond, Tetsuro Morimura, Takayuki Osogami, Noriaki Hirosue |
| 2012 | SDM | Large-Scale Nonparametric Estimation of Vehicle Travel Time Distributions. | Rikiya Takahashi, Takayuki Osogami, Tetsuro Morimura |
| 2010 | ICML | Nonparametric Return Distribution Approximation for Reinforcement Learning. | Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka |
| 2010 | UAI | Parametric Return Density Estimation for Reinforcement Learning. | Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka |
| 2009 | ICRA | Least absolute policy iteration for robust value function approximation. | Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura |