Tetsuro Morimura

According to our database1, Tetsuro Morimura authored at least 37 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Return-Aligned Decision Transformer.
CoRR, 2024

Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding.
CoRR, 2024

2023
Model-Based Minimum Bayes Risk Decoding.
CoRR, 2023

Policy Gradient with Kernel Quadrature.
CoRR, 2023

On the Depth between Beam Search and Exhaustive Search for Text Generation.
CoRR, 2023

Why Guided Dialog Policy Learning performs well? Understanding the role of adversarial learning and its alternative.
CoRR, 2023

Safe Collaborative Filtering.
CoRR, 2023

2022
Policy Gradient Algorithms with Monte-Carlo Tree Search for Non-Markov Decision Processes.
CoRR, 2022

2019
Visual analytics for team-based invasion sports with significant events and Markov reward process.
CoRR, 2019

Sampler for Composition Ratio by Markov Chain Monte Carlo.
CoRR, 2019

2017
Traffic Velocity Estimation From Vehicle Count Sequences.
IEEE Trans. Intell. Transp. Syst., 2017

City-Wide Traffic Flow Estimation From a Limited Number of Low-Quality Cameras.
IEEE Trans. Intell. Transp. Syst., 2017

2016
Weight Features for Predicting Future Model Performance of Deep Neural Networks.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Automated help system for novice older users from touchscreen gestures.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Unsupervised object counting without object recognition.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Predicting Preference Reversals via Gaussian Process Uncertainty Aversion.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

A Consistent Method for Graph Based Anomaly Localization.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
A multi-objective genetic algorithm using intermediate features of simulations.
Proceedings of the 2014 Winter Simulation Conference, 2014

Frugal signal control using low resolution web-camera and traffic flow estimation.
Proceedings of the 2014 Winter Simulation Conference, 2014

Predicting halfway through simulation: early scenario evaluation using intermediate features of agent-based simulations.
Proceedings of the 2014 Winter Simulation Conference, 2014

Probabilistic Two-Level Anomaly Detection for Correlated Systems.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Mixing-Time Regularized Policy Gradient.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Solving inverse problem of Markov chain with partial observations.
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.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

Map matching with Hidden Markov Model on sampled road network.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Statistical Origin-destination generation with multiple sources.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Temporal feature selection for time-series prediction.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Time-Consistency of Optimization Problems.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2010
Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning.
Neural Comput., 2010

Adaptive Step-size Policy Gradients with Average Reward Metric.
Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Least Absolute Policy Iteration-A Robust Approach to Value Function Approximation.
IEICE Trans. Inf. Syst., 2010

Parametric Return Density Estimation for Reinforcement Learning.
Proceedings of the UAI 2010, 2010

Nonparametric Return Distribution Approximation for Reinforcement Learning.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
A Generalized Natural Actor-Critic Algorithm.
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.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

2008
Natural actor-critic with baseline adjustment for variance reduction.
Artif. Life Robotics, 2008

A New Natural Policy Gradient by Stationary Distribution Metric.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008


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