Tetsuro Morimura

60 papers A* 8A 6B 5C 1Misc 3Journal 29Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Evaluation of Best-of-N Sampling Strategies for Language Model Alignment. CoRR Yuki Ichihara, Yuu Jinnai, Tetsuro Morimura, Kaito Ariu, Kenshi Abe, Mitsuki Sakamoto, Eiji Uchibe
2025	J	`jnl`	Evaluation of Best-of-N Sampling Strategies for Language Model Alignment. Trans. Mach. Learn. Res. Yuki Ichihara, Yuu Jinnai, Tetsuro Morimura, Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Eiji Uchibe
2025	J	`jnl`	Filtered Direct Preference Optimization. J. Nat. Lang. Process. Tetsuro Morimura
2025	A	`conf`	Latent Variable Modeling for Robust Causal Effect Estimation. CIKM Tetsuro Morimura, Tatsushi Oka, Yugo Suzuki, Daisuke Moriwaki
2025	J	`jnl`	Latent Variable Modeling for Robust Causal Effect Estimation. CoRR Tetsuro Morimura, Tatsushi Oka, Yugo Suzuki, Daisuke Moriwaki
2025	J	`jnl`	MO-GRPO: Mitigating Reward Hacking of Group Relative Policy Optimization on Multi-Objective Problems. CoRR Yuki Ichihara, Yuu Jinnai, Tetsuro Morimura, Mitsuki Sakamoto, Ryota Mitsuhashi, Eiji Uchibe
2025	—	`conf`	Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment. NAACL (Long Papers) Yuu Jinnai, Tetsuro Morimura, Kaito Ariu, Kenshi Abe
2025	J	`jnl`	Return-Aligned Decision Transformer. Trans. Mach. Learn. Res. Tsunehiko Tanaka, Kenshi Abe, Kaito Ariu, Tetsuro Morimura, Edgar Simo-Serra
2025	—	`conf`	Theoretical Guarantees for Minimum Bayes Risk Decoding. ACL (1) Yuki Ichihara, Yuu Jinnai, Kaito Ariu, Tetsuro Morimura, Eiji Uchibe
2025	J	`jnl`	Theoretical Guarantees for Minimum Bayes Risk Decoding. CoRR Yuki Ichihara, Yuu Jinnai, Kaito Ariu, Tetsuro Morimura, Eiji Uchibe
2024	A*	`conf`	Filtered Direct Preference Optimization. EMNLP Tetsuro Morimura, Mitsuki Sakamoto, Yuu Jinnai, Kenshi Abe, Kaito Ariu
2024	J	`jnl`	Filtered Direct Preference Optimization. CoRR Tetsuro Morimura, Mitsuki Sakamoto, Yuu Jinnai, Kenshi Abe, Kaito Ariu
2024	—	`conf`	Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding. ACL (Findings) Yuu Jinnai, Ukyo Honda, Tetsuro Morimura, Peinan Zhang
2024	J	`jnl`	Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding. CoRR Yuu Jinnai, Ukyo Honda, Tetsuro Morimura, Peinan Zhang
2024	A*	`conf`	Model-Based Minimum Bayes Risk Decoding for Text Generation. ICML Yuu Jinnai, Tetsuro Morimura, Ukyo Honda, Kaito Ariu, Kenshi Abe
2024	—	`conf`	On the True Distribution Approximation of Minimum Bayes-Risk Decoding. NAACL (Short Papers) Atsumoto Ohashi, Ukyo Honda, Tetsuro Morimura, Yuu Jinnai
2024	J	`jnl`	On the True Distribution Approximation of Minimum Bayes-Risk Decoding. CoRR Atsumoto Ohashi, Ukyo Honda, Tetsuro Morimura, Yuu Jinnai
2024	J	`jnl`	Policy Gradient Algorithms with Monte Carlo Tree Learning for Non-Markov Decision Processes. RLJ Tetsuro Morimura, Kazuhiro Ota, Kenshi Abe, Peinan Zhang
2024	J	`jnl`	Policy Gradient with Kernel Quadrature. Trans. Mach. Learn. Res. Satoshi Hayakawa, Tetsuro Morimura
2024	J	`jnl`	Regularized Best-of-N Sampling to Mitigate Reward Hacking for Language Model Alignment. CoRR Yuu Jinnai, Tetsuro Morimura, Kaito Ariu, Kenshi Abe
2024	—	`conf`	Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation. NAACL (Student Research Workshop) Hao Wang, Tetsuro Morimura, Ukyo Honda, Daisuke Kawahara
2024	J	`jnl`	Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation. CoRR Hao Wang, Tetsuro Morimura, Ukyo Honda, Daisuke Kawahara
2024	J	`jnl`	Return-Aligned Decision Transformer. CoRR Tsunehiko Tanaka, Kenshi Abe, Kaito Ariu, Tetsuro Morimura, Edgar Simo-Serra
2024	A*	`conf`	Safe Collaborative Filtering. ICLR Riku Togashi, Tatsushi Oka, Naoto Ohsaka, Tetsuro Morimura
2023	J	`jnl`	Model-Based Minimum Bayes Risk Decoding. CoRR Yuu Jinnai, Tetsuro Morimura, Ukyo Honda, Kaito Ariu, Kenshi Abe
2023	J	`jnl`	On the Depth between Beam Search and Exhaustive Search for Text Generation. CoRR Yuu Jinnai, Tetsuro Morimura, Ukyo Honda
2023	J	`jnl`	Policy Gradient with Kernel Quadrature. CoRR Satoshi Hayakawa, Tetsuro Morimura
2023	J	`jnl`	Safe Collaborative Filtering. CoRR Riku Togashi, Tatsushi Oka, Naoto Ohsaka, Tetsuro Morimura
2023	J	`jnl`	Why Guided Dialog Policy Learning performs well? Understanding the role of adversarial learning and its alternative. CoRR Sho Shimoyama, Tetsuro Morimura, Kenshi Abe, Toda Takamichi, Yuta Tomomatsu, Masakazu Sugiyama, Asahi Hentona, Yuuki Azuma, Hirotaka Ninomiya
2022	J	`jnl`	Policy Gradient Algorithms with Monte-Carlo Tree Search for Non-Markov Decision Processes. CoRR Tetsuro Morimura, Kazuhiro Ota, Kenshi Abe, Peinan Zhang
2019	J	`jnl`	Sampler for Composition Ratio by Markov Chain Monte Carlo. CoRR Yachiko Obara, Tetsuro Morimura, Hiroki Yanagisawa
2019	J	`jnl`	Visual analytics for team-based invasion sports with significant events and Markov reward process. CoRR Kun Zhao, Takayuki Osogami, Tetsuro Morimura
2017	J	`jnl`	City-Wide Traffic Flow Estimation From a Limited Number of Low-Quality Cameras. IEEE Trans. Intell. Transp. Syst. Tsuyoshi Idé, Takayuki Katsuki, Tetsuro Morimura, Robert J. T. Morris
2017	J	`jnl`	Traffic Velocity Estimation From Vehicle Count Sequences. IEEE Trans. Intell. Transp. Syst. Takayuki Katsuki, Tetsuro Morimura, Masato Inoue
2016	B	`conf`	Automated help system for novice older users from touchscreen gestures. ICPR Daisuke Sato, Tetsuro Morimura, Takayuki Katsuki, Yosuke Toyota, Tsuneo Kato, Hironobu Takagi
2016	B	`conf`	Unsupervised object counting without object recognition. ICPR Takayuki Katsuki, Tetsuro Morimura, Tsuyoshi Idé
2016	A*	`conf`	Weight Features for Predicting Future Model Performance of Deep Neural Networks. IJCAI Yasunori Yamada, Tetsuro Morimura
2015	A	`conf`	A Consistent Method for Graph Based Anomaly Localization. AISTATS Satoshi Hara, Tetsuro Morimura, Toshihiro Takahashi, Hiroki Yanagisawa, Taiji Suzuki
2015	A	`conf`	Predicting Preference Reversals via Gaussian Process Uncertainty Aversion. AISTATS Rikiya Takahashi, Tetsuro Morimura
2014	Misc	`conf`	A multi-objective genetic algorithm using intermediate features of simulations. WSC Hidemasa Muta, Rudy Raymond, Satoshi Hara, Tetsuro Morimura
2014	Misc	`conf`	Frugal signal control using low resolution web-camera and traffic flow estimation. WSC Kumiko Maeda, Tetsuro Morimura, Takayuki Katsuki, Masayoshi Teraguchi
2014	A*	`conf`	Mixing-Time Regularized Policy Gradient. AAAI Tetsuro Morimura, Takayuki Osogami, Tomoyuki Shirai
2014	Misc	`conf`	Predicting halfway through simulation: early scenario evaluation using intermediate features of agent-based simulations. WSC Satoshi Hara, Rudy Raymond, Tetsuro Morimura, Hidemasa Muta
2014	A	`conf`	Probabilistic Two-Level Anomaly Detection for Correlated Systems. ECAI Bin Tong, Tetsuro Morimura, Einoshin Suzuki, Tsuyoshi Idé
2013	—	`conf`	Solving inverse problem of Markov chain with partial observations. NIPS Tetsuro Morimura, Takayuki Osogami, Tsuyoshi Idé
2012	A	`conf`	Large-Scale Nonparametric Estimation of Vehicle Travel Time Distributions. SDM Rikiya Takahashi, Takayuki Osogami, Tetsuro Morimura
2012	B	`conf`	Map matching with Hidden Markov Model on sampled road network. ICPR Rudy Raymond, Tetsuro Morimura, Takayuki Osogami, Noriaki Hirosue
2012	J	`jnl`	Parametric Return Density Estimation for Reinforcement Learning CoRR Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka
2012	B	`conf`	Statistical Origin-destination generation with multiple sources. ICPR Tetsuro Morimura, Sei Kato
2012	B	`conf`	Temporal feature selection for time-series prediction. ICPR Shohei Hido, Tetsuro Morimura
2012	A*	`conf`	Time-Consistency of Optimization Problems. AAAI Takayuki Osogami, Tetsuro Morimura
2010	C	`conf`	Adaptive Step-size Policy Gradients with Average Reward Metric. ACML Takamitsu Matsubara, Tetsuro Morimura, Jun Morimoto
2010	J	`jnl`	Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning. Neural Comput. Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Jan Peters, Kenji Doya
2010	J	`jnl`	Least Absolute Policy Iteration-A Robust Approach to Value Function Approximation. IEICE Trans. Inf. Syst. Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura
2010	A*	`conf`	Nonparametric Return Distribution Approximation for Reinforcement Learning. ICML Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka
2010	A	`conf`	Parametric Return Density Estimation for Reinforcement Learning. UAI Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka
2009	—	`conf`	A Generalized Natural Actor-Critic Algorithm. NIPS Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya
2009	A*	`conf`	Least absolute policy iteration for robust value function approximation. ICRA Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura
2008	—	`conf`	A New Natural Policy Gradient by Stationary Distribution Metric. ECML/PKDD (2) Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya
2008	J	`jnl`	Natural actor-critic with baseline adjustment for variance reduction. Artif. Life Robotics Tetsuro Morimura, Eiji Uchibe, Kenji Doya