Hideitsu Hino - RankMe

133 papers A* 4A 6B 7C 5Misc 1Journal 76Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Enhancing Certified Robustness in Few-Shot Classification with Contrastive Loss and Defensive Noise in Fine-Tuning. ICISSP (2) Hiroya Kato, Seira Hidano, Takao Murakami, Hideitsu Hino
2026	J	`jnl`	Sobolev-Ricci Curvature. CoRR Kyoichi Iwasaki, Tam Le, Hideitsu Hino
2025	A	`conf`	A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence. AISTATS Takahiro Kawashima, Hideitsu Hino
2025	—	`conf`	An (ε ,δ )-Accurate Level Set Estimation with a Stopping Criterion. ECML/PKDD (2) Hideaki Ishibashi, Kota Matsui, Kentaro Kutsukake, Hideitsu Hino
2025	J	`jnl`	An (ε,δ)-accurate level set estimation with a stopping criterion. CoRR Hideaki Ishibashi, Kota Matsui, Kentaro Kutsukake, Hideitsu Hino
2025	J	`jnl`	Complex non-backtracking matrix for directed graphs. J. Complex Networks Keishi Sando, Hideitsu Hino
2025	J	`jnl`	Complex non-backtracking matrix for directed graphs. CoRR Keishi Sando, Hideitsu Hino
2025	A*	`conf`	Difference-of-submodular Bregman Divergence. ICLR Masanari Kimura, Takahiro Kawashima, Tasuku Soma, Hideitsu Hino
2025	J	`jnl`	Dynamics of the accelerated t-SNE. Trans. Mach. Learn. Res. Kyoichi Iwasaki, Hideitsu Hino
2025	J	`jnl`	Generalized Sobolev IPM for Graph-Based Measures. CoRR Tam Le, Truyen Nguyen, Hideitsu Hino, Kenji Fukumizu
2025	J	`jnl`	Gradual Domain Adaptation via Normalizing Flows. Neural Comput. Shogo Sagawa, Hideitsu Hino
2025	J	`jnl`	Misspecifying non-compensatory as compensatory IRT: analysis of estimated skills and variance. CoRR Hiroshi Tamano, Hideitsu Hino, Daichi Mochihashi
2025	J	`jnl`	Optimal spectroscopic measurement design: Bayesian framework for rational data acquisition. Mach. Learn. Sci. Technol. Yusei Ito, Yasuo Takeichi, Hideitsu Hino, Kanta Ono
2025	J	`jnl`	Orlicz-Sobolev Transport for Unbalanced Measures on a Graph. CoRR Tam Le, Truyen Nguyen, Hideitsu Hino, Kenji Fukumizu
2025	A*	`conf`	Scalable Sobolev IPM for Probability Measures on a Graph. ICML Tam Le, Truyen Nguyen, Hideitsu Hino, Kenji Fukumizu
2025	J	`jnl`	Scalable Sobolev IPM for Probability Measures on a Graph. CoRR Tam Le, Truyen Nguyen, Hideitsu Hino, Kenji Fukumizu
2025	J	`jnl`	Tree Structure for the Categorical Wasserstein Weisfeiler-Lehman Graph Kernel. Trans. Mach. Learn. Res. Keishi Sando, Tam Le, Hideitsu Hino
2025	J	`jnl`	When should we use top coding in locally private estimation? Int. J. Inf. Sec. Hajime Ono, Kazuhiro Minami, Hideitsu Hino
2024	J	`jnl`	A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence. CoRR Takahiro Kawashima, Hideitsu Hino
2024	J	`jnl`	A Short Survey on Importance Weighting for Machine Learning. CoRR Masanari Kimura, Hideitsu Hino
2024	J	`jnl`	A Short Survey on Importance Weighting for Machine Learning. Trans. Mach. Learn. Res. Masanari Kimura, Hideitsu Hino
2024	J	`jnl`	Duality induced by an embedding structure of determinantal point process. CoRR Hideitsu Hino, Keisuke Yano
2024	—	`conf`	Scalable Counterfactual Distribution Estimation in Multivariate Causal Models. CLeaR Thong Pham, Shohei Shimizu, Hideitsu Hino, Tam Le
2024	J	`jnl`	Synthesizing differentially private location traces including co-locations. Int. J. Inf. Sec. Jun Narita, Takao Murakami, Hideitsu Hino, Masakatsu Nishigaki, Tetsushi Ohki
2023	A	`conf`	A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets. AISTATS Hideaki Ishibashi, Masayuki Karasuyama, Ichiro Takeuchi, Hideitsu Hino
2023	J	`jnl`	ATNAS: Automatic Termination for Neural Architecture Search. Neural Networks Kotaro Sakamoto, Hideaki Ishibashi, Rei Sato, Shinichi Shirakawa, Youhei Akimoto, Hideitsu Hino
2023	J	`jnl`	Cost-effective framework for gradual domain adaptation with multifidelity. Neural Networks Shogo Sagawa, Hideitsu Hino
2023	J	`jnl`	Gaussian Process Koopman Mode Decomposition. Neural Comput. Takahiro Kawashima, Hideitsu Hino
2023	J	`jnl`	Information Geometrically Generalized Covariate Shift Adaptation. CoRR Masanari Kimura, Hideitsu Hino
2023	J	`jnl`	Minorization-Maximization for Learning Determinantal Point Processes. Trans. Mach. Learn. Res. Takahiro Kawashima, Hideitsu Hino
2023	J	`jnl`	Scalable Counterfactual Distribution Estimation in Multivariate Causal Models. CoRR Thong Pham, Shohei Shimizu, Hideitsu Hino, Tam Le
2022	J	`jnl`	Active Learning by Query by Committee with Robust Divergences. CoRR Hideitsu Hino, Shinto Eguchi
2022	J	`jnl`	Cost-effective Framework for Gradual Domain Adaptation with Multifidelity. CoRR Shogo Sagawa, Hideitsu Hino
2022	J	`jnl`	Detecting cell assemblies by NMF-based clustering from calcium imaging data. Neural Networks Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata
2022	B	`conf`	Domain Adaptation with Optimal Transport for Extended Variable Space. IJCNN Toshimitsu Aritake, Hideitsu Hino
2022	J	`jnl`	Gaussian Process Koopman Mode Decomposition. CoRR Takahiro Kawashima, Hideitsu Hino
2022	J	`jnl`	Geometry of EM and related iterative algorithms. CoRR Hideitsu Hino, Shotaro Akaho, Noboru Murata
2022	J	`jnl`	Gradual Domain Adaptation via Normalizing Flows. CoRR Shogo Sagawa, Hideitsu Hino
2022	J	`jnl`	Information Geometrically Generalized Covariate Shift Adaptation. Neural Comput. Masanari Kimura, Hideitsu Hino
2022	J	`jnl`	Information Geometry of Dropout Training. CoRR Masanari Kimura, Hideitsu Hino
2022	A	`conf`	One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation. AISTATS Hajime Ono, Kazuhiro Minami, Hideitsu Hino
2022	J	`jnl`	One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation. CoRR Hajime Ono, Kazuhiro Minami, Hideitsu Hino
2022	J	`jnl`	Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport. CoRR Toshimitsu Aritake, Hideitsu Hino
2022	J	`jnl`	Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport. Neural Comput. Toshimitsu Aritake, Hideitsu Hino
2021	J	`jnl`	$α$-Geodesical Skew Divergence. CoRR Masanari Kimura, Hideitsu Hino
2021	A*	`conf`	Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization. AAAI Takahiro Kawashima, Hayaru Shouno, Hideitsu Hino
2021	J	`jnl`	Fast and robust multiplane single-molecule localization microscopy using a deep neural network. Neurocomputing Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata
2021	J	`jnl`	Fast symplectic integrator for Nesterov-type acceleration method. CoRR Shin-itiro Goto, Hideitsu Hino
2021	J	`jnl`	Pre-Training Acquisition Functions by Deep Reinforcement Learning for Fixed Budget Active Learning. Neural Process. Lett. Yusuke Taguchi, Hideitsu Hino, Keisuke Kameyama
2021	J	`jnl`	Stopping Criterion for Active Learning Based on Error Stability. CoRR Hideaki Ishibashi, Hideitsu Hino
2021	J	`jnl`	α-Geodesical Skew Divergence. Entropy Masanari Kimura, Hideitsu Hino
2020	J	`jnl`	Active Learning: Problem Settings and Recent Developments. CoRR Hideitsu Hino
2020	J	`jnl`	Fast and robust multiplane single molecule localization microscopy using deep neural network. CoRR Toshimitsu Aritake, Hideitsu Hino, Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose, Noboru Murata
2020	J	`jnl`	Modal Principal Component Analysis. CoRR Keishi Sando, Hideitsu Hino
2020	J	`jnl`	Modal Principal Component Analysis. Neural Comput. Keishi Sando, Hideitsu Hino
2020	A	`conf`	Stopping criterion for active learning based on deterministic generalization bounds. AISTATS Hideaki Ishibashi, Hideitsu Hino
2020	J	`jnl`	Stopping criterion for active learning based on deterministic generalization bounds. CoRR Hideaki Ishibashi, Hideitsu Hino
2019	B	`conf`	Active Learning with Interpretable Predictor. IJCNN Yusuke Taguchi, Keisuke Kameyama, Hideitsu Hino
2019	J	`jnl`	Bayesian Optimization for Multi-objective Optimization and Multi-point Search. CoRR Takashi Wada, Hideitsu Hino
2019	—	`conf`	Expectation Variables on a Para-Contact Metric Manifold Exactly Derived from Master Equations. GSI Shin-itiro Goto, Hideitsu Hino
2019	—	`conf`	On a Convergence Property of a Geometrical Algorithm for Statistical Manifolds. ICONIP (5) Shotaro Akaho, Hideitsu Hino, Noboru Murata
2019	J	`jnl`	On a convergence property of a geometrical algorithm for statistical manifolds. CoRR Shotaro Akaho, Hideitsu Hino, Noboru Murata
2019	—	`conf`	Retrieved Image Refinement by Bootstrap Outlier Test. CAIP (1) Hayato Watanabe, Hideitsu Hino, Shotaro Akaho, Noboru Murata
2019	—	`conf`	Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization. ICANN (1) Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata
2018	J	`jnl`	Classification of volcanic ash particles using a convolutional neural network and probability. CoRR Daigo Shoji, Rina Noguchi, Shizuka Otsuki, Hideitsu Hino
2018	J	`jnl`	EEG dipole source localization with information criteria for multiple particle filters. Neural Networks Sho Sonoda, Keita Nakamura, Yuki Kaneda, Hideitsu Hino, Shotaro Akaho, Noboru Murata, Eri Miyauchi, Masahiro Kawasaki
2018	J	`jnl`	Estimation of neural connections from partially observed neural spikes. Neural Networks Taishi Iwasaki, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata
2018	—	`conf`	Geometrical Formulation of the Nonnegative Matrix Factorization. ICONIP (3) Shotaro Akaho, Hideitsu Hino, Neneka Nara, Noboru Murata
2018	—	`conf`	Information Geometric Perspective of Modal Linear Regression. ICONIP (3) Keishi Sando, Shotaro Akaho, Noboru Murata, Hideitsu Hino
2018	—	`conf`	Localizing Current Dipoles from EEG Data Using a Birth-Death Process. BIBM Keita Nakamura, Sho Sonoda, Hideitsu Hino, Masahiro Kawasaki, Shotaro Akaho, Noboru Murata
2018	J	`jnl`	Toward Distribution Estimation under Local Differential Privacy with Small Samples. Proc. Priv. Enhancing Technol. Takao Murakami, Hideitsu Hino, Jun Sakuma
2017	J	`jnl`	Double sparsity for multi-frame super resolution. Neurocomputing Toshiyuki Kato, Hideitsu Hino, Noboru Murata
2017	J	`jnl`	Group Sparsity Tensor Factorization for Re-Identification of Open Mobility Traces. IEEE Trans. Inf. Forensics Secur. Takao Murakami, Atsunori Kanemura, Hideitsu Hino
2017	J	`jnl`	Local Intrinsic Dimension Estimation by Generalized Linear Modeling. Neural Comput. Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Noboru Murata
2017	J	`jnl`	ider: Intrinsic Dimension Estimation with R. R J. Hideitsu Hino
2016	—	`conf`	3D Object Recognition with Enhanced Grassmann Discriminant Analysis. ACCV Workshops (3) Lincon Sales de Souza, Hideitsu Hino, Kazuhiro Fukui
2016	—	`conf`	An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure. ICONIP (2) Hideitsu Hino, Shotaro Akaho, Noboru Murata
2016	A*	`conf`	Change-point detection in a sequence of bags-of-data. ICDE Kensuke Koshijima, Hideitsu Hino, Noboru Murata
2016	—	`conf`	Doubly sparse structure in image super resolution. MLSP Toshiyuki Kato, Hideitsu Hino, Noboru Murata
2016	—	`conf`	Non-parametric e-mixture of Density Functions. ICONIP (2) Hideitsu Hino, Ken Takano, Shotaro Akaho, Noboru Murata
2016	J	`jnl`	Nonparametric Neural Comput. Ken Takano, Hideitsu Hino, Shotaro Akaho, Noboru Murata
2016	J	`jnl`	Protein Fold Classification Using Large Margin Combination of Distance Metrics. IEICE Trans. Inf. Syst. Chendra Hadi Suryanto, Kazuhiro Fukui, Hideitsu Hino
2016	—	`conf`	Spotting fingerspelled words from sign language video by temporally regularized canonical component analysis. ISBA Shohei Tanaka, Akio Okazaki, Nobuko Kato, Hideitsu Hino, Kazuhiro Fukui
2015	J	`jnl`	Change-Point Detection in a Sequence of Bags-of-Data. IEEE Trans. Knowl. Data Eng. Kensuke Koshijima, Hideitsu Hino, Noboru Murata
2015	J	`jnl`	Double Sparse Multi-Frame Image Super Resolution. CoRR Toshiyuki Kato, Hideitsu Hino, Noboru Murata
2015	J	`jnl`	Entropy Power Inequality for Learning Optimal Combination of Kernel Functions. J. Signal Process. Syst. Hideitsu Hino
2015	—	`conf`	Group Sparsity Tensor Factorization for De-anonymization of Mobility Traces. TrustCom/BigDataSE/ISPA (1) Takao Murakami, Atsunori Kanemura, Hideitsu Hino
2015	—	`conf`	Linear Discriminant Analysis with Adherent Regularization. LVA/ICA Hideitsu Hino
2015	J	`jnl`	Multi-frame image super resolution based on sparse coding. Neural Networks Toshiyuki Kato, Hideitsu Hino, Noboru Murata
2015	J	`jnl`	Non-parametric entropy estimators based on simple linear regression. Comput. Stat. Data Anal. Hideitsu Hino, Kensuke Koshijima, Noboru Murata
2015	—	`conf`	Patchworking Multiple Pairwise Distances for Learning with Distance Matrices. LVA/ICA Ken Takano, Hideitsu Hino, Yuki Yoshikawa, Noboru Murata
2015	C	`conf`	Personal Authentication Based on 3D Configuration of Micro-feature Points on Facial Surface. PSIVT Takao Yoshinuma, Hideitsu Hino, Kazuhiro Fukui
2015	J	`jnl`	mmpp: A Package for Calculating Similarity and Distance Metrics for Simple and Marked Temporal Point Processes. R J. Hideitsu Hino, Ken Takano, Noboru Murata
2014	—	`conf`	A Kernel Method to Extract Common Features Based on Mutual Information. ICONIP (2) Takamitsu Araki, Hideitsu Hino, Shotaro Akaho
2014	C	`conf`	A Non-parametric Maximum Entropy Clustering. ICANN Hideitsu Hino, Noboru Murata
2014	J	`jnl`	A Nonparametric Clustering Algorithm with a Quantile-Based Likelihood Estimator. Neural Comput. Hideitsu Hino, Noboru Murata
2014	C	`conf`	An Algorithm for Directed Graph Estimation. ICANN Hideitsu Hino, Atsushi Noda, Masami Tatsuno, Shotaro Akaho, Noboru Murata
2014	J	`jnl`	Intrinsic Graph Structure Estimation Using Graph Laplacian. Neural Comput. Atsushi Noda, Hideitsu Hino, Masami Tatsuno, Shotaro Akaho, Noboru Murata
2014	B	`conf`	Sensing Visual Attention by Sequential Patterns. ICPR Yasuyuki Yamazaki, Hideitsu Hino, Kazuhiro Fukui
2014	J	`jnl`	Sparse Coding Approach for Multi-Frame Image Super Resolution. CoRR Toshiyuki Kato, Hideitsu Hino, Noboru Murata
2013	J	`jnl`	A Versatile Clustering Method for Electricity Consumption Pattern Analysis in Households. IEEE Trans. Smart Grid Hideitsu Hino, Haoyang Shen, Noboru Murata, Shinji Wakao, Yasuhiro Hayashi
2013	—	`conf`	Combination of Multiple Distance Measures for Protein Fold Classification. ACPR Chendra Hadi Suryanto, Hideitsu Hino, Kazuhiro Fukui
2013	J	`jnl`	Entropy-based sliced inverse regression. Comput. Stat. Data Anal. Hideitsu Hino, Keigo Wakayama, Noboru Murata
2013	—	`conf`	Gaussian multiple kernel learning with entropy power inequality. MLSP Hideitsu Hino
2013	J	`jnl`	Information estimators for weighted observations. Neural Networks Hideitsu Hino, Noboru Murata
2013	—	`conf`	Integration of MKL-Based and I-Vector-Based Speaker Verification by Short Utterances. ACPR Hideitsu Hino, Tetsuji Ogawa
2013	J	`jnl`	Learning Ancestral Atom via Sparse Coding. IEEE J. Sel. Top. Signal Process. Toshimitsu Aritake, Hideitsu Hino, Noboru Murata
2013	—	`conf`	Pairwise Similarity for Line Extraction from Distorted Images. CAIP (2) Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Yoshihiko Mochizuki, Noboru Murata
2013	—	`conf`	Supervised covariance selection for linear discriminant analysis. MLSP Hideitsu Hino, Nima Reyhani
2012	—	`conf`	A Tree Search Approach to Sparse Coding. LION Rui Jorge Rei, João Pedro Pedroso, Hideitsu Hino, Noboru Murata
2012	B	`conf`	An improved entropy-based multiple kernel learning. ICPR Hideitsu Hino, Tetsuji Ogawa
2012	J	`jnl`	Multiple Kernel Learning with Gaussianity Measures. Neural Comput. Hideitsu Hino, Nima Reyhani, Noboru Murata
2012	J	`jnl`	New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices CoRR Nima Reyhani, Hideitsu Hino, Ricardo Vigário
2012	—	`conf`	Robust Hypersurface Fitting Based on Random Sampling Approximations. ICONIP (3) Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata
2012	B	`conf`	Sliced inverse regression with conditional entropy minimization. ICPR Hideitsu Hino, Keigo Wakayama, Noboru Murata
2011	—	`conf`	A Computationally Efficient Information Estimator for Weighted Data. ICANN (2) Hideitsu Hino, Noboru Murata
2011	—	`conf`	A Measure of Credibility of Solar Power Prediction. ICMLA (2) Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao
2011	J	`jnl`	An Estimation of Generalized Bradley-Terry Models Based on the Neural Comput. Yu Fujimoto, Hideitsu Hino, Noboru Murata
2011	—	`conf`	Calibration of radially symmetric distortion based on linearity in the calibrated image. ICCV Workshops Jun Fujiki, Hideitsu Hino, Shotaro Akaho, Noboru Murata
2011	—	`conf`	Extraction of Basic Patterns of Household Energy Consumption. ICMLA (2) Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao
2011	—	`conf`	Improved methods for dewarping images in convex mirrors in fine art: applications to van Eyck and Parmigianino. Computer Vision and Image Analysis of Art Yumi Usami, David G. Stork, Jun Fujiki, Hideitsu Hino, Shotaro Akaho, Noboru Murata
2011	A	`conf`	New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices. UAI Nima Reyhani, Hideitsu Hino, Ricardo Vigário
2011	—	`conf`	Robust Hyperplane Fitting Based on k-th Power Deviation and α-Quantile. CAIP (1) Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata
2011	A	`conf`	Speaker Verification Robust to Talking Style Variation Using Multiple Kernel Learning Based on Conditional Entropy Minimization. INTERSPEECH Tetsuji Ogawa, Hideitsu Hino, Noboru Murata, Tetsunori Kobayashi
2011	Misc	`conf`	Speaker recognition using multiple kernel learning based on conditional entropy minimization. ICASSP Tetsuji Ogawa, Hideitsu Hino, Nima Reyhani, Noboru Murata, Tetsunori Kobayashi
2010	J	`jnl`	A Conditional Entropy Minimization Criterion for Dimensionality Reduction and Multiple Kernel Learning. Neural Comput. Hideitsu Hino, Noboru Murata
2010	J	`jnl`	A Grouped Ranking Model for Item Preference Parameter. Neural Comput. Hideitsu Hino, Yu Fujimoto, Noboru Murata
2010	C	`conf`	Multiple Kernel Learning by Conditional Entropy Minimization. ICMLA Hideitsu Hino, Nima Reyhani, Noboru Murata
2010	B	`conf`	Self-Calibration of Radially Symmetric Distortion by Model Selection. ICPR Jun Fujiki, Hideitsu Hino, Yumi Usami, Shotaro Akaho, Noboru Murata
2009	—	`conf`	An Information Theoretic Perspective of the Sparse Coding. ISNN (1) Hideitsu Hino, Noboru Murata
2009	C	`conf`	Calibration of Radially Symmetric Distortion by Fitting Principal Component. CAIP Hideitsu Hino, Yumi Usami, Jun Fujiki, Shotaro Akaho, Noboru Murata
2009	B	`conf`	Item Preference Parameters from Grouped Ranking Observations. PAKDD Hideitsu Hino, Yu Fujimoto, Noboru Murata
2009	—	`conf`	Item-user Preference Mapping with Mixture Models - Data Visualization for Item Preference. KDIR Yu Fujimoto, Hideitsu Hino, Noboru Murata