Search Results for author: Hirotaka Hachiya

Found 5 papers, 2 papers with code

Translation Between Waves, wave2wave

no code implementations ICLR 2020 Tsuyoshi Okita, Hirotaka Hachiya, Sozo Inoue, Naonori Ueda

The understanding of sensor data has been greatly improved by advanced deep learning methods with big data.

Machine Translation Translation

Exchangeable deep neural networks for set-to-set matching and learning

2 code implementations ECCV 2020 Yuki Saito, Takuma Nakamura, Hirotaka Hachiya, Kenji Fukumizu

Matching two different sets of items, called heterogeneous set-to-set matching problem, has recently received attention as a promising problem.

set matching

Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting

1 code implementation18 Jun 2012 Ning Xie, Hirotaka Hachiya, Masashi Sugiyama

Oriental ink painting, called Sumi-e, is one of the most appealing painting styles that has attracted artists around the world.

reinforcement-learning Reinforcement Learning (RL)

Analysis and Improvement of Policy Gradient Estimation

no code implementations NeurIPS 2011 Tingting Zhao, Hirotaka Hachiya, Gang Niu, Masashi Sugiyama

We also theoretically show that PGPE with the optimal baseline is more preferable than REINFORCE with the optimal baseline in terms of the variance of gradient estimates.

Policy Gradient Methods reinforcement-learning +1

Relative Density-Ratio Estimation for Robust Distribution Comparison

no code implementations NeurIPS 2011 Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama

Divergence estimators based on direct approximation of density-ratios without going through separate approximation of numerator and denominator densities have been successfully applied to machine learning tasks that involve distribution comparison such as outlier detection, transfer learning, and two-sample homogeneity test.

Density Ratio Estimation Outlier Detection +1

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