default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHirotaka Hachiya
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j19]Hirotaka Hachiya
, Yuki Saito:
Set representative vector and its asymmetric attention-based transformation for heterogeneous set-to-set matching. Neurocomputing 578: 127372 (2024)- [j18]Hirotaka Hachiya, Yuto Yoshimura:
Specular Surface Detection with Deep Static Specular Flow and Highlight. Mach. Vis. Appl. 35(6): 126 (2024) - 2023
- [j17]Jiwei Zhang, Haiyuan Wu, Qian Chen, Hirotaka Hachiya:
Multi-feature subspace representation network for person re-identification via bird's-eye view image. Comput. Animat. Virtual Worlds 34(6) (2023) - [j16]Hirotaka Hachiya, Sujun Hong:
Multistream-Based Marked Point Process With Decomposed Cumulative Hazard Functions. Neural Comput. 35(4): 699-726 (2023) - [c26]Yuhei Nomura, Hirotaka Hachiya:
Frequency-dependent Image Reconstruction Error for Micro Defect Detection. ACML 2023: 1007-1022 - [c25]Hirotaka Hachiya, Yuto Yoshimura:
Combining Static Specular Flow and Highlight with Deep Features for Specular Surface Detection. MVA 2023: 1-5 - 2022
- [c24]Hirotaka Hachiya, Kotaro Nagayoshi, Asako Iwaki, Takahiro Maeda, Naonori Ueda, Hiroyuki Fujiwara:
Position-dependent partial convolutions for supervised spatial interpolation. ACML 2022: 420-435 - 2021
- [c23]Hirotaka Hachiya, Yusuke Masumoto, Yuki Mori, Naonori Ueda:
Encoder-decoder-based image transformation approach for integrating precipitation forecasts. ACML 2021: 174-188 - [c22]Sujun Hong, Hirotaka Hachiya:
Multi-stream based marked point process. ACML 2021: 1269-1284 - 2020
- [c21]Yuki Saito, Takuma Nakamura, Hirotaka Hachiya, Kenji Fukumizu:
Exchangeable Deep Neural Networks for Set-to-Set Matching and Learning. ECCV (17) 2020: 626-646 - [i6]Tsuyoshi Okita, Hirotaka Hachiya, Sozo Inoue, Naonori Ueda:
Translation Between Waves, wave2wave. CoRR abs/2007.10394 (2020)
2010 – 2019
- 2019
- [c20]Hirotaka Hachiya, Yu Yamamoto, Kazuro Hirahara, Naonori Ueda:
Adaptive truncated residual regression for fine-grained regression problems. ACML 2019: 868-882 - [i5]Yuki Saito, Takuma Nakamura, Hirotaka Hachiya, Kenji Fukumizu:
Deep Set-to-Set Matching and Learning. CoRR abs/1910.09972 (2019) - 2018
- [c19]Shohei Wakita, Takayuki Nakamura, Hirotaka Hachiya:
Laser Variational Autoencoder for Map Construction and Self-Localization. SMC 2018: 3993-3998 - [c18]Hirotaka Hachiya, Yuki Saito, Kazuma Iteya, Masaya Nomura, Takayuki Nakamura:
2.5D Faster R-CNN for Distance Estimation. SMC 2018: 3999-4004 - 2014
- [j15]Masashi Sugiyama, Gang Niu, Makoto Yamada, Manabu Kimura, Hirotaka Hachiya:
Information-Maximization Clustering Based on Squared-Loss Mutual Information. Neural Comput. 26(1): 84-131 (2014) - 2013
- [j14]Ning Xie, Hirotaka Hachiya, Masashi Sugiyama:
Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting. IEICE Trans. Inf. Syst. 96-D(5): 1134-1144 (2013) - [j13]Wittawat Jitkrittum, Hirotaka Hachiya, Masashi Sugiyama:
Feature Selection via l1-Penalized Squared-Loss Mutual Information. IEICE Trans. Inf. Syst. 96-D(7): 1513-1524 (2013) - [j12]Hyun Ha Nam, Hirotaka Hachiya, Masashi Sugiyama:
Computationally Efficient Multi-Label Classification by Least-Squares Probabilistic Classifiers. IEICE Trans. Inf. Syst. 96-D(8): 1871-1874 (2013) - [j11]Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama:
Relative Density-Ratio Estimation for Robust Distribution Comparison. Neural Comput. 25(5): 1324-1370 (2013) - [j10]Tingting Zhao, Hirotaka Hachiya, Voot Tangkaratt, Jun Morimoto, Masashi Sugiyama:
Efficient Sample Reuse in Policy Gradients with Parameter-Based Exploration. Neural Comput. 25(6): 1512-1547 (2013) - [c17]Hirotaka Hachiya, Masakazu Matsugu:
NSH: Normality Sensitive Hashing for Anomaly Detection. ICCV Workshops 2013: 795-802 - [c16]Gang Niu, Wittawat Jitkrittum, Bo Dai, Hirotaka Hachiya, Masashi Sugiyama:
Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning. ICML (3) 2013: 10-18 - [i4]Tingting Zhao, Hirotaka Hachiya, Voot Tangkaratt, Jun Morimoto, Masashi Sugiyama:
Efficient Sample Reuse in Policy Gradients with Parameter-based Exploration. CoRR abs/1301.3966 (2013) - 2012
- [j9]Jaak Simm, Masashi Sugiyama, Hirotaka Hachiya:
Multi-Task Approach to Reinforcement Learning for Factored-State Markov Decision Problems. IEICE Trans. Inf. Syst. 95-D(10): 2426-2437 (2012) - [j8]Hirotaka Hachiya, Masashi Sugiyama, Naonori Ueda:
Importance-weighted least-squares probabilistic classifier for covariate shift adaptation with application to human activity recognition. Neurocomputing 80: 93-101 (2012) - [j7]Tingting Zhao, Hirotaka Hachiya, Gang Niu, Masashi Sugiyama:
Analysis and improvement of policy gradient estimation. Neural Networks 26: 118-129 (2012) - [c15]Hyun Ha Nam, Hirotaka Hachiya, Masashi Sugiyama:
Computationally efficient multi-label classification by least-squares probabilistic classifier. ICASSP 2012: 2077-2080 - [c14]Ning Xie, Hirotaka Hachiya, Masashi Sugiyama:
Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting. ICML 2012 - [i3]Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka:
Parametric Return Density Estimation for Reinforcement Learning. CoRR abs/1203.3497 (2012) - [i2]Ning Xie, Hirotaka Hachiya, Masashi Sugiyama:
Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting. CoRR abs/1206.4634 (2012) - [i1]Wittawat Jitkrittum, Hirotaka Hachiya, Masashi Sugiyama:
Feature Selection via L1-Penalized Squared-Loss Mutual Information. CoRR abs/1210.1960 (2012) - 2011
- [j6]Hirotaka Hachiya, Jan Peters, Masashi Sugiyama:
Reward-Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning. Neural Comput. 23(11): 2798-2832 (2011) - [c13]Masashi Sugiyama, Makoto Yamada, Manabu Kimura, Hirotaka Hachiya:
On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution. ICML 2011: 65-72 - [c12]Tingting Zhao, Hirotaka Hachiya, Gang Niu, Masashi Sugiyama:
Analysis and Improvement of Policy Gradient Estimation. NIPS 2011: 262-270 - [c11]Makoto Yamada, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Masashi Sugiyama:
Relative Density-Ratio Estimation for Robust Distribution Comparison. NIPS 2011: 594-602 - 2010
- [j5]Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Daisuke Okanohara:
Least-Squares Conditional Density Estimation. IEICE Trans. Inf. Syst. 93-D(3): 583-594 (2010) - [j4]Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura:
Least Absolute Policy Iteration-A Robust Approach to Value Function Approximation. IEICE Trans. Inf. Syst. 93-D(9): 2555-2565 (2010) - [j3]Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiyama:
Efficient exploration through active learning for value function approximation in reinforcement learning. Neural Networks 23(5): 639-648 (2010) - [c10]Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka:
Nonparametric Return Distribution Approximation for Reinforcement Learning. ICML 2010: 799-806 - [c9]Hirotaka Hachiya, Masashi Sugiyama:
Feature Selection for Reinforcement Learning: Evaluating Implicit State-Reward Dependency via Conditional Mutual Information. ECML/PKDD (1) 2010: 474-489 - [c8]Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka:
Parametric Return Density Estimation for Reinforcement Learning. UAI 2010: 368-375 - [c7]Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Daisuke Okanohara:
Conditional Density Estimation via Least-Squares Density Ratio Estimation. AISTATS 2010: 781-788
2000 – 2009
- 2009
- [j2]Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiyama, Jan Peters:
Adaptive importance sampling for value function approximation in off-policy reinforcement learning. Neural Networks 22(10): 1399-1410 (2009) - [c6]Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiyama, Jan Peters:
Efficient data reuse in value function approximation. ADPRL 2009: 8-15 - [c5]Masashi Sugiyama, Hirotaka Hachiya, Hisashi Kashima, Tetsuro Morimura:
Least absolute policy iteration for robust value function approximation. ICRA 2009: 2904-2909 - [c4]Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiyama:
Active Policy Iteration: Efficient Exploration through Active Learning for Value Function Approximation in Reinforcement Learning. IJCAI 2009: 980-985 - [c3]Hirotaka Hachiya, Jan Peters, Masashi Sugiyama:
Efficient Sample Reuse in EM-Based Policy Search. ECML/PKDD (1) 2009: 469-484 - 2008
- [j1]Masashi Sugiyama, Hirotaka Hachiya, Christopher Towell, Sethu Vijayakumar:
Geodesic Gaussian kernels for value function approximation. Auton. Robots 25(3): 287-304 (2008) - [c2]Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiyama, Jan Peters:
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation. AAAI 2008: 1351-1356 - 2007
- [c1]Masashi Sugiyama, Hirotaka Hachiya, Christopher Towell, Sethu Vijayakumar:
Value Function Approximation on Non-Linear Manifolds for Robot Motor Control. ICRA 2007: 1733-1740
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-18 23:44 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
