Hideitsu Hino

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 74

Top Venues

Publications

Masanari Kimura, Hideitsu Hino
A Short Survey on Importance Weighting for Machine Learning. Trans. Mach. Learn. Res. 2024 (2024)
Hideitsu Hino, Keisuke Yano
Duality induced by an embedding structure of determinantal point process. CoRR (2024)
Thong Pham, Shohei Shimizu, Hideitsu Hino, Tam Le
Scalable Counterfactual Distribution Estimation in Multivariate Causal Models. CLeaR (2024)
Jun Narita, Takao Murakami, Hideitsu Hino, Masakatsu Nishigaki, Tetsushi Ohki
Synthesizing differentially private location traces including co-locations. Int. J. Inf. Sec. 23 (1) (2024)
Masanari Kimura, Hideitsu Hino
A Short Survey on Importance Weighting for Machine Learning. CoRR (2024)
Shogo Sagawa, Hideitsu Hino
Cost-effective framework for gradual domain adaptation with multifidelity. Neural Networks 164 (2023)
Kotaro Sakamoto, Hideaki Ishibashi, Rei Sato, Shinichi Shirakawa, Youhei Akimoto, Hideitsu Hino
ATNAS: Automatic Termination for Neural Architecture Search. Neural Networks 166 (2023)
Hideaki Ishibashi, Masayuki Karasuyama, Ichiro Takeuchi, Hideitsu Hino
A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets. AISTATS (2023)
Thong Pham, Shohei Shimizu, Hideitsu Hino, Tam Le
Scalable Counterfactual Distribution Estimation in Multivariate Causal Models. CoRR (2023)
Masanari Kimura, Hideitsu Hino
Information Geometrically Generalized Covariate Shift Adaptation. CoRR (2023)
Takahiro Kawashima, Hideitsu Hino
Minorization-Maximization for Learning Determinantal Point Processes. Trans. Mach. Learn. Res. 2023 (2023)
Takahiro Kawashima, Hideitsu Hino
Gaussian Process Koopman Mode Decomposition. Neural Comput. 35 (1) (2023)
Toshimitsu Aritake, Hideitsu Hino
Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport. CoRR (2022)
Toshimitsu Aritake, Hideitsu Hino
Domain Adaptation with Optimal Transport for Extended Variable Space. IJCNN (2022)
Shogo Sagawa, Hideitsu Hino
Gradual Domain Adaptation via Normalizing Flows. CoRR (2022)
Takahiro Kawashima, Hideitsu Hino
Gaussian Process Koopman Mode Decomposition. CoRR (2022)
Hajime Ono, Kazuhiro Minami, Hideitsu Hino
One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation. AISTATS (2022)
Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata
Detecting cell assemblies by NMF-based clustering from calcium imaging data. Neural Networks 149 (2022)
Masanari Kimura, Hideitsu Hino
Information Geometrically Generalized Covariate Shift Adaptation. Neural Comput. 34 (9) (2022)
Shogo Sagawa, Hideitsu Hino
Cost-effective Framework for Gradual Domain Adaptation with Multifidelity. CoRR (2022)
Hajime Ono, Kazuhiro Minami, Hideitsu Hino
One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation. CoRR (2022)
Toshimitsu Aritake, Hideitsu Hino
Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport. Neural Comput. 34 (12) (2022)
Masanari Kimura, Hideitsu Hino
Information Geometry of Dropout Training. CoRR (2022)
Hideitsu Hino, Shotaro Akaho, Noboru Murata
Geometry of EM and related iterative algorithms. CoRR (2022)
Hideitsu Hino, Shinto Eguchi
Active Learning by Query by Committee with Robust Divergences. CoRR (2022)
Takahiro Kawashima, Hayaru Shouno, Hideitsu Hino
Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization. AAAI (2021)
Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata
Fast and robust multiplane single-molecule localization microscopy using a deep neural network. Neurocomputing 451 (2021)
Shin-itiro Goto, Hideitsu Hino
Fast symplectic integrator for Nesterov-type acceleration method. CoRR (2021)
Yusuke Taguchi, Hideitsu Hino, Keisuke Kameyama
Pre-Training Acquisition Functions by Deep Reinforcement Learning for Fixed Budget Active Learning. Neural Process. Lett. 53 (3) (2021)
Masanari Kimura, Hideitsu Hino
α-Geodesical Skew Divergence. Entropy 23 (5) (2021)
Masanari Kimura, Hideitsu Hino
$α$-Geodesical Skew Divergence. CoRR (2021)
Hideaki Ishibashi, Hideitsu Hino
Stopping Criterion for Active Learning Based on Error Stability. CoRR (2021)
Hideaki Ishibashi, Hideitsu Hino
Stopping criterion for active learning based on deterministic generalization bounds. CoRR (2020)
Hideaki Ishibashi, Hideitsu Hino
Stopping criterion for active learning based on deterministic generalization bounds. AISTATS (2020)
Keishi Sando, Hideitsu Hino
Modal Principal Component Analysis. CoRR (2020)
Hideitsu Hino
Active Learning: Problem Settings and Recent Developments. CoRR (2020)
Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata
Fast and robust multiplane single molecule localization microscopy using deep neural network. CoRR (2020)
Keishi Sando, Hideitsu Hino
Modal Principal Component Analysis. Neural Comput. 32 (10) (2020)
Shotaro Akaho, Hideitsu Hino, Noboru Murata
On a Convergence Property of a Geometrical Algorithm for Statistical Manifolds. ICONIP (5) (2019)
Hayato Watanabe, Hideitsu Hino, Shotaro Akaho, Noboru Murata
Retrieved Image Refinement by Bootstrap Outlier Test. CAIP (1) (2019)
Shin-itiro Goto, Hideitsu Hino
Expectation Variables on a Para-Contact Metric Manifold Exactly Derived from Master Equations. GSI (2019)
Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata
Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization. ICANN (1) (2019)
Shotaro Akaho, Hideitsu Hino, Noboru Murata
On a convergence property of a geometrical algorithm for statistical manifolds. CoRR (2019)
Yusuke Taguchi, Keisuke Kameyama, Hideitsu Hino
Active Learning with Interpretable Predictor. IJCNN (2019)
Takashi Wada, Hideitsu Hino
Bayesian Optimization for Multi-objective Optimization and Multi-point Search. CoRR (2019)
Shotaro Akaho, Hideitsu Hino, Neneka Nara, Noboru Murata
Geometrical Formulation of the Nonnegative Matrix Factorization. ICONIP (3) (2018)
Daigo Shoji, Rina Noguchi, Shizuka Otsuki, Hideitsu Hino
Classification of volcanic ash particles using a convolutional neural network and probability. CoRR (2018)
Sho Sonoda, Keita Nakamura, Yuki Kaneda, Hideitsu Hino, Shotaro Akaho, Noboru Murata, Eri Miyauchi, Masahiro Kawasaki
EEG dipole source localization with information criteria for multiple particle filters. Neural Networks 108 (2018)
Takao Murakami, Hideitsu Hino, Jun Sakuma
Toward Distribution Estimation under Local Differential Privacy with Small Samples. Proc. Priv. Enhancing Technol. 2018 (3) (2018)
Keishi Sando, Shotaro Akaho, Noboru Murata, Hideitsu Hino
Information Geometric Perspective of Modal Linear Regression. ICONIP (3) (2018)
Keita Nakamura, Sho Sonoda, Hideitsu Hino, Masahiro Kawasaki, Shotaro Akaho, Noboru Murata
Localizing Current Dipoles from EEG Data Using a Birth-Death Process. BIBM (2018)
Taishi Iwasaki, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata
Estimation of neural connections from partially observed neural spikes. Neural Networks 108 (2018)
Takao Murakami, Atsunori Kanemura, Hideitsu Hino
Group Sparsity Tensor Factorization for Re-Identification of Open Mobility Traces. IEEE Trans. Inf. Forensics Secur. 12 (3) (2017)
Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Noboru Murata
Local Intrinsic Dimension Estimation by Generalized Linear Modeling. Neural Comput. 29 (7) (2017)
Toshiyuki Kato, Hideitsu Hino, Noboru Murata
Double sparsity for multi-frame super resolution. Neurocomputing 240 (2017)
Hideitsu Hino
ider: Intrinsic Dimension Estimation with R. R J. 9 (2) (2017)
Hideitsu Hino, Ken Takano, Shotaro Akaho, Noboru Murata
Non-parametric e-mixture of Density Functions. ICONIP (2) (2016)
Ken Takano, Hideitsu Hino, Shotaro Akaho, Noboru Murata
-Mixture Estimation. Neural Comput. 28 (12) (2016)
Lincon Sales de Souza, Hideitsu Hino, Kazuhiro Fukui
3D Object Recognition with Enhanced Grassmann Discriminant Analysis. ACCV Workshops (3) (2016)
Chendra Hadi Suryanto, Kazuhiro Fukui, Hideitsu Hino
Protein Fold Classification Using Large Margin Combination of Distance Metrics. IEICE Trans. Inf. Syst. (3) (2016)
Hideitsu Hino, Shotaro Akaho, Noboru Murata
An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure. ICONIP (2) (2016)
Kensuke Koshijima, Hideitsu Hino, Noboru Murata
Change-point detection in a sequence of bags-of-data. ICDE (2016)
Shohei Tanaka, Akio Okazaki, Nobuko Kato, Hideitsu Hino, Kazuhiro Fukui
Spotting fingerspelled words from sign language video by temporally regularized canonical component analysis. ISBA (2016)
Toshiyuki Kato, Hideitsu Hino, Noboru Murata
Doubly sparse structure in image super resolution. MLSP (2016)
Hideitsu Hino, Kensuke Koshijima, Noboru Murata
Non-parametric entropy estimators based on simple linear regression. Comput. Stat. Data Anal. 89 (2015)
Takao Murakami, Atsunori Kanemura, Hideitsu Hino
Group Sparsity Tensor Factorization for De-anonymization of Mobility Traces. TrustCom/BigDataSE/ISPA (1) (2015)
Ken Takano, Hideitsu Hino, Yuki Yoshikawa, Noboru Murata
Patchworking Multiple Pairwise Distances for Learning with Distance Matrices. LVA/ICA (2015)
Hideitsu Hino
Linear Discriminant Analysis with Adherent Regularization. LVA/ICA (2015)
Takao Yoshinuma, Hideitsu Hino, Kazuhiro Fukui
Personal Authentication Based on 3D Configuration of Micro-feature Points on Facial Surface. PSIVT (2015)
Toshiyuki Kato, Hideitsu Hino, Noboru Murata
Multi-frame image super resolution based on sparse coding. Neural Networks 66 (2015)
Toshiyuki Kato, Hideitsu Hino, Noboru Murata
Double Sparse Multi-Frame Image Super Resolution. CoRR (2015)
Hideitsu Hino
Entropy Power Inequality for Learning Optimal Combination of Kernel Functions. J. Signal Process. Syst. 79 (2) (2015)
Kensuke Koshijima, Hideitsu Hino, Noboru Murata
Change-Point Detection in a Sequence of Bags-of-Data. IEEE Trans. Knowl. Data Eng. 27 (10) (2015)
Hideitsu Hino, Ken Takano, Noboru Murata
mmpp: A Package for Calculating Similarity and Distance Metrics for Simple and Marked Temporal Point Processes. R J. 7 (2) (2015)
Toshiyuki Kato, Hideitsu Hino, Noboru Murata
Sparse Coding Approach for Multi-Frame Image Super Resolution. CoRR (2014)
Atsushi Noda, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata
Intrinsic Graph Structure Estimation Using Graph Laplacian. Neural Comput. 26 (7) (2014)
Takamitsu Araki, Hideitsu Hino, Shotaro Akaho
A Kernel Method to Extract Common Features Based on Mutual Information. ICONIP (2) (2014)
Hideitsu Hino, Noboru Murata
A Non-parametric Maximum Entropy Clustering. ICANN (2014)
Hideitsu Hino, Atsushi Noda, Masami Tatsuno, Shotaro Akaho, Noboru Murata
An Algorithm for Directed Graph Estimation. ICANN (2014)
Hideitsu Hino, Noboru Murata
A Nonparametric Clustering Algorithm with a Quantile-Based Likelihood Estimator. Neural Comput. 26 (9) (2014)
Yasuyuki Yamazaki, Hideitsu Hino, Kazuhiro Fukui
Sensing Visual Attention by Sequential Patterns. ICPR (2014)
Hideitsu Hino, Noboru Murata
Information estimators for weighted observations. Neural Networks 46 (2013)
Chendra Hadi Suryanto, Hideitsu Hino, Kazuhiro Fukui
Combination of Multiple Distance Measures for Protein Fold Classification. ACPR (2013)
Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Yoshihiko Mochizuki, Noboru Murata
Pairwise Similarity for Line Extraction from Distorted Images. CAIP (2) (2013)
Hideitsu Hino, Nima Reyhani
Supervised covariance selection for linear discriminant analysis. MLSP (2013)
Hideitsu Hino
Gaussian multiple kernel learning with entropy power inequality. MLSP (2013)
Hideitsu Hino, Keigo Wakayama, Noboru Murata
Entropy-based sliced inverse regression. Comput. Stat. Data Anal. 67 (2013)
Hideitsu Hino, Haoyang Shen, Noboru Murata, Shinji Wakao, Yasuhiro Hayashi
A Versatile Clustering Method for Electricity Consumption Pattern Analysis in Households. IEEE Trans. Smart Grid 4 (2) (2013)
Hideitsu Hino, Tetsuji Ogawa
Integration of MKL-Based and I-Vector-Based Speaker Verification by Short Utterances. ACPR (2013)
Toshimitsu Aritake, Hideitsu Hino, Noboru Murata
Learning Ancestral Atom via Sparse Coding. IEEE J. Sel. Top. Signal Process. 7 (4) (2013)
Nima Reyhani, Hideitsu Hino, Ricardo Vigário
New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices CoRR (2012)
Hideitsu Hino, Tetsuji Ogawa
An improved entropy-based multiple kernel learning. ICPR (2012)
Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata
Robust Hypersurface Fitting Based on Random Sampling Approximations. ICONIP (3) (2012)
Rui Jorge Rei, João Pedro Pedroso, Hideitsu Hino, Noboru Murata
A Tree Search Approach to Sparse Coding. LION (2012)
Hideitsu Hino, Keigo Wakayama, Noboru Murata
Sliced inverse regression with conditional entropy minimization. ICPR (2012)
Hideitsu Hino, Nima Reyhani, Noboru Murata
Multiple Kernel Learning with Gaussianity Measures. Neural Comput. 24 (7) (2012)
Yu Fujimoto, Hideitsu Hino, Noboru Murata
Algorithm. Neural Comput. 23 (6) (2011)
Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao
A Measure of Credibility of Solar Power Prediction. ICMLA (2) (2011)
Tetsuji Ogawa, Hideitsu Hino, Nima Reyhani, Noboru Murata, Tetsunori Kobayashi
Speaker recognition using multiple kernel learning based on conditional entropy minimization. ICASSP (2011)
Hideitsu Hino, Noboru Murata
A Computationally Efficient Information Estimator for Weighted Data. ICANN (2) (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hideitsu Hino