Hirotaka Hachiya

发表

Reward-Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning

Masashi Sugiyama, Jan Peters, Hirotaka Hachiya, 2011, Neural Computation.

NSH: Normality Sensitive Hashing for Anomaly Detection

Hirotaka Hachiya, Masakazu Matsugu, M. Matsugu, 2013, 2013 IEEE International Conference on Computer Vision Workshops.

Relative Density-Ratio Estimation for Robust Distribution Comparison

Takafumi Kanamori, Masashi Sugiyama, Taiji Suzuki, 2011, Neural Computation.

Feature Selection for Reinforcement Learning: Evaluating Implicit State-Reward Dependency via Conditional Mutual Information

Masashi Sugiyama, Hirotaka Hachiya, Masashi Sugiyama, 2010, ECML/PKDD.

Active Policy Iteration: Efficient Exploration through Active Learning for Value Function Approximation in Reinforcement Learning

Masashi Sugiyama, Hirotaka Hachiya, Takayuki Akiyama, 2009, IJCAI.

Information-Maximization Clustering Based on Squared-Loss Mutual Information

Masashi Sugiyama, H. Hachiya, M. Yamada, 2011, Neural Computation.

Adaptive importance sampling for value function approximation in off-policy reinforcement learning

Masashi Sugiyama, Jan Peters, Hirotaka Hachiya, 2009, Neural Networks.

Efficient data reuse in value function approximation

Masashi Sugiyama, Jan Peters, Hirotaka Hachiya, 2009, 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning.

Least-squares Conditional Density Estimation Masashi Sugiyama

Masashi Sugiyama, Taiji Suzuki, I. Takeuchi, 2009 .

Exchangeable Deep Neural Networks for Set-to-Set Matching and Learning

K. Fukumizu, H. Hachiya, Yuki Saito, 2020, ECCV.

Simulation of broad-band ground motions with consistent long-period and short-period components using the Wasserstein interpolation of acceleration envelopes

H. Hachiya, N. Ueda, H. Fujiwara, 2021, Geophysical Journal International.

Nonparametric Return Distribution Approximation for Reinforcement Learning

Masashi Sugiyama, Hisashi Kashima, Toshiyuki Tanaka, 2010, ICML.

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

Masashi Sugiyama, Naonori Ueda, Hirotaka Hachiya, 2012, Neurocomputing.

Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning

Gang Niu, Bo Dai, Masashi Sugiyama, 2013, ICML.

Parametric Return Density Estimation for Reinforcement Learning pdf

Masashi Sugiyama, Hisashi Kashima, Toshiyuki Tanaka, 2010, UAI.

Multistream-Based Marked Point Process With Decomposed Cumulative Hazard Functions

Hirotaka Hachiya, Sujun Hong, 2023, Neural Computation.

Multi-stream based marked point process

Hirotaka Hachiya, Sujun Hong, 2021, ACML.