Hirotaka Hachiya

Orcid: 0000-0003-3748-4101

According to our database1, Hirotaka Hachiya authored at least 42 papers between 2007 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
Multistream-Based Marked Point Process With Decomposed Cumulative Hazard Functions.
Neural Comput., 2023

Multi-feature subspace representation network for person re-identification via bird's-eye view image.
Comput. Animat. Virtual Worlds, 2023

Combining Static Specular Flow and Highlight with Deep Features for Specular Surface Detection.
Proceedings of the 18th International Conference on Machine Vision and Applications, 2023

2022
Position-dependent partial convolutions for supervised spatial interpolation.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
Multi-stream based marked point process.
Proceedings of the Asian Conference on Machine Learning, 2021

Encoder-decoder-based image transformation approach for integrating precipitation forecasts.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Translation Between Waves, wave2wave.
CoRR, 2020

Exchangeable Deep Neural Networks for Set-to-Set Matching and Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Deep Set-to-Set Matching and Learning.
CoRR, 2019

Adaptive truncated residual regression for fine-grained regression problems.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018
Laser Variational Autoencoder for Map Construction and Self-Localization.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2.5D Faster R-CNN for Distance Estimation.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2014
Information-Maximization Clustering Based on Squared-Loss Mutual Information.
Neural Comput., 2014

2013
Efficient Sample Reuse in Policy Gradients with Parameter-Based Exploration.
Neural Comput., 2013

Relative Density-Ratio Estimation for Robust Distribution Comparison.
Neural Comput., 2013

Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting.
IEICE Trans. Inf. Syst., 2013

Computationally Efficient Multi-Label Classification by Least-Squares Probabilistic Classifiers.
IEICE Trans. Inf. Syst., 2013

Feature Selection via l<sub>1</sub>-Penalized Squared-Loss Mutual Information.
IEICE Trans. Inf. Syst., 2013

Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning.
Proceedings of the 30th International Conference on Machine Learning, 2013

NSH: Normality Sensitive Hashing for Anomaly Detection.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

2012
Analysis and improvement of policy gradient estimation.
Neural Networks, 2012

Importance-weighted least-squares probabilistic classifier for covariate shift adaptation with application to human activity recognition.
Neurocomputing, 2012

Multi-Task Approach to Reinforcement Learning for Factored-State Markov Decision Problems.
IEICE Trans. Inf. Syst., 2012

Feature Selection via L1-Penalized Squared-Loss Mutual Information
CoRR, 2012

Computationally efficient multi-label classification by least-squares probabilistic classifier.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Reward-Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning.
Neural Comput., 2011

On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Efficient exploration through active learning for value function approximation in reinforcement learning.
Neural Networks, 2010

Conditional Density Estimation via Least-Squares Density Ratio Estimation.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Least-Squares Conditional Density Estimation.
IEICE Trans. Inf. Syst., 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

Feature Selection for Reinforcement Learning: Evaluating Implicit State-Reward Dependency via Conditional Mutual Information.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

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

2009
Adaptive importance sampling for value function approximation in off-policy reinforcement learning.
Neural Networks, 2009

Efficient Sample Reuse in EM-Based Policy Search.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Active Policy Iteration: Efficient Exploration through Active Learning for Value Function Approximation in Reinforcement Learning.
Proceedings of the IJCAI 2009, 2009

Least absolute policy iteration for robust value function approximation.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Efficient data reuse in value function approximation.
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009

2008
Geodesic Gaussian kernels for value function approximation.
Auton. Robots, 2008

Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Value Function Approximation on Non-Linear Manifolds for Robot Motor Control.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007


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