Tetsuro Morimura

According to our database, Tetsuro Morimura authored at least 42 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Policy Gradient with Kernel Quadrature.

Satoshi Hayakawa, Tetsuro Morimura

Trans. Mach. Learn. Res., 2024

Filtered Direct Preference Optimization.

Tetsuro Morimura, Mitsuki Sakamoto, Yuu Jinnai, Kenshi Abe, Kaito Ariu

CoRR, 2024

Regularized Best-of-N Sampling to Mitigate Reward Hacking for Language Model Alignment.

Yuu Jinnai, Tetsuro Morimura, Kaito Ariu, Kenshi Abe

CoRR, 2024

Return-Aligned Decision Transformer.

Tsunehiko Tanaka, Kenshi Abe, Kaito Ariu, Tetsuro Morimura, Edgar Simo-Serra

CoRR, 2024

Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation.

Hao Wang, Tetsuro Morimura, Ukyo Honda, Daisuke Kawahara

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2024

On the True Distribution Approximation of Minimum Bayes-Risk Decoding.

Atsumoto Ohashi, Ukyo Honda, Tetsuro Morimura, Yuu Jinnai

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Model-Based Minimum Bayes Risk Decoding for Text Generation.

Yuu Jinnai, Tetsuro Morimura, Ukyo Honda, Kaito Ariu, Kenshi Abe

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Safe Collaborative Filtering.

Riku Togashi, Tatsushi Oka, Naoto Ohsaka, Tetsuro Morimura

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding.

Yuu Jinnai, Ukyo Honda, Tetsuro Morimura, Peinan Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Model-Based Minimum Bayes Risk Decoding.

Yuu Jinnai, Tetsuro Morimura, Ukyo Honda, Kaito Ariu, Kenshi Abe

CoRR, 2023

On the Depth between Beam Search and Exhaustive Search for Text Generation.

Yuu Jinnai, Tetsuro Morimura, Ukyo Honda

CoRR, 2023

Why Guided Dialog Policy Learning performs well? Understanding the role of adversarial learning and its alternative.

Sho Shimoyama, Tetsuro Morimura, Kenshi Abe, Toda Takamichi, Yuta Tomomatsu, Masakazu Sugiyama, Asahi Hentona, Yuuki Azuma, Hirotaka Ninomiya

CoRR, 2023

2022

Policy Gradient Algorithms with Monte-Carlo Tree Search for Non-Markov Decision Processes.

Tetsuro Morimura, Kazuhiro Ota, Kenshi Abe, Peinan Zhang

CoRR, 2022

2019

Visual analytics for team-based invasion sports with significant events and Markov reward process.

Kun Zhao, Takayuki Osogami, Tetsuro Morimura

CoRR, 2019

Sampler for Composition Ratio by Markov Chain Monte Carlo.

Yachiko Obara, Tetsuro Morimura, Hiroki Yanagisawa

CoRR, 2019

2017

Traffic Velocity Estimation From Vehicle Count Sequences.

Takayuki Katsuki, Tetsuro Morimura, Masato Inoue

IEEE Trans. Intell. Transp. Syst., 2017

City-Wide Traffic Flow Estimation From a Limited Number of Low-Quality Cameras.

Tsuyoshi Idé, Takayuki Katsuki, Tetsuro Morimura, Robert J. T. Morris

IEEE Trans. Intell. Transp. Syst., 2017

2016

Weight Features for Predicting Future Model Performance of Deep Neural Networks.

Yasunori Yamada, Tetsuro Morimura

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Automated help system for novice older users from touchscreen gestures.

Daisuke Sato, Tetsuro Morimura, Takayuki Katsuki, Yosuke Toyota, Tsuneo Kato, Hironobu Takagi

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Unsupervised object counting without object recognition.

Takayuki Katsuki, Tetsuro Morimura, Tsuyoshi Idé

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Predicting Preference Reversals via Gaussian Process Uncertainty Aversion.

Rikiya Takahashi, Tetsuro Morimura

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

A Consistent Method for Graph Based Anomaly Localization.

Satoshi Hara, Tetsuro Morimura, Toshihiro Takahashi, Hiroki Yanagisawa, Taiji Suzuki

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

A multi-objective genetic algorithm using intermediate features of simulations.

Hidemasa Muta, Rudy Raymond, Satoshi Hara, Tetsuro Morimura

Proceedings of the 2014 Winter Simulation Conference, 2014

Frugal signal control using low resolution web-camera and traffic flow estimation.

Kumiko Maeda, Tetsuro Morimura, Takayuki Katsuki, Masayoshi Teraguchi

Proceedings of the 2014 Winter Simulation Conference, 2014

Predicting halfway through simulation: early scenario evaluation using intermediate features of agent-based simulations.

Satoshi Hara, Rudy Raymond, Tetsuro Morimura, Hidemasa Muta

Proceedings of the 2014 Winter Simulation Conference, 2014

Probabilistic Two-Level Anomaly Detection for Correlated Systems.

Bin Tong, Tetsuro Morimura, Einoshin Suzuki, Tsuyoshi Idé

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Mixing-Time Regularized Policy Gradient.

Tetsuro Morimura, Takayuki Osogami, Tomoyuki Shirai

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Solving inverse problem of Markov chain with partial observations.

Tetsuro Morimura, Takayuki Osogami, Tsuyoshi Idé

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Large-Scale Nonparametric Estimation of Vehicle Travel Time Distributions.

Rikiya Takahashi, Takayuki Osogami, Tetsuro Morimura

Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Map matching with Hidden Markov Model on sampled road network.

Rudy Raymond, Tetsuro Morimura, Takayuki Osogami, Noriaki Hirosue

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Statistical Origin-destination generation with multiple sources.

Tetsuro Morimura, Sei Kato

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Temporal feature selection for time-series prediction.

Shohei Hido, Tetsuro Morimura

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Time-Consistency of Optimization Problems.

Takayuki Osogami, Tetsuro Morimura

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2010

Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning.

Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Jan Peters, Kenji Doya

Neural Comput., 2010

Adaptive Step-size Policy Gradients with Average Reward Metric.

Takamitsu Matsubara, Tetsuro Morimura, Jun Morimoto

Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Least Absolute Policy Iteration-A Robust Approach to Value Function Approximation.

Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura

IEICE Trans. Inf. Syst., 2010

Parametric Return Density Estimation for Reinforcement Learning.

Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka

Proceedings of the UAI 2010, 2010

Nonparametric Return Distribution Approximation for Reinforcement Learning.

Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009

A Generalized Natural Actor-Critic Algorithm.

Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Least absolute policy iteration for robust value function approximation.

Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

2008

Natural actor-critic with baseline adjustment for variance reduction.

Tetsuro Morimura, Eiji Uchibe, Kenji Doya

Artif. Life Robotics, 2008

A New Natural Policy Gradient by Stationary Distribution Metric.

Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008