| 2026 | ICISSP | Enhancing Certified Robustness in Few-Shot Classification with Contrastive Loss and Defensive Noise in Fine-Tuning. | Hiroya Kato, Seira Hidano, Takao Murakami, Hideitsu Hino |
| 2025 | AISTATS | A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence. | Takahiro Kawashima, Hideitsu Hino |
| 2025 | ICLR | Difference-of-submodular Bregman Divergence. | Masanari Kimura, Takahiro Kawashima, Tasuku Soma, Hideitsu Hino |
| 2025 | ICML | Scalable Sobolev IPM for Probability Measures on a Graph. | Tam Le, Truyen Nguyen, Hideitsu Hino, Kenji Fukumizu |
| 2023 | AISTATS | A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets. | Hideaki Ishibashi, Masayuki Karasuyama, Ichiro Takeuchi, Hideitsu Hino |
| 2022 | AISTATS | One-bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation. | Hajime Ono, Kazuhiro Minami, Hideitsu Hino |
| 2022 | IJCNN | Domain Adaptation with Optimal Transport for Extended Variable Space. | Toshimitsu Aritake, Hideitsu Hino |
| 2021 | AAAI | Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization. | Takahiro Kawashima, Hayaru Shouno, Hideitsu Hino |
| 2020 | AISTATS | Stopping criterion for active learning based on deterministic generalization bounds. | Hideaki Ishibashi, Hideitsu Hino |
| 2019 | CAIP | Retrieved Image Refinement by Bootstrap Outlier Test. | Hayato Watanabe, Hideitsu Hino, Shotaro Akaho, Noboru Murata |
| 2019 | ICANN | Sleep State Analysis Using Calcium Imaging Data by Non-negative Matrix Factorization. | Mizuo Nagayama, Toshimitsu Aritake, Hideitsu Hino, Takeshi Kanda, Takehiro Miyazaki, Masashi Yanagisawa, Shotaro Akaho, Noboru Murata |
| 2019 | ICONIP | On a Convergence Property of a Geometrical Algorithm for Statistical Manifolds. | Shotaro Akaho, Hideitsu Hino, Noboru Murata |
| 2019 | IJCNN | Active Learning with Interpretable Predictor. | Yusuke Taguchi, Keisuke Kameyama, Hideitsu Hino |
| 2018 | ICONIP | Geometrical Formulation of the Nonnegative Matrix Factorization. | Shotaro Akaho, Hideitsu Hino, Neneka Nara, Noboru Murata |
| 2018 | ICONIP | Information Geometric Perspective of Modal Linear Regression. | Keishi Sando, Shotaro Akaho, Noboru Murata, Hideitsu Hino |
| 2016 | ACCV | 3D Object Recognition with Enhanced Grassmann Discriminant Analysis. | Lincon Sales de Souza, Hideitsu Hino, Kazuhiro Fukui |
| 2016 | ICDE | Change-point detection in a sequence of bags-of-data. | Kensuke Koshijima, Hideitsu Hino, Noboru Murata |
| 2016 | ICONIP | An Entropy Estimator Based on Polynomial Regression with Poisson Error Structure. | Hideitsu Hino, Shotaro Akaho, Noboru Murata |
| 2016 | ICONIP | Non-parametric e-mixture of Density Functions. | Hideitsu Hino, Ken Takano, Shotaro Akaho, Noboru Murata |
| 2015 | PSIVT | Personal Authentication Based on 3D Configuration of Micro-feature Points on Facial Surface. | Takao Yoshinuma, Hideitsu Hino, Kazuhiro Fukui |
| 2015 | TrustCom | Group Sparsity Tensor Factorization for De-anonymization of Mobility Traces. | Takao Murakami, Atsunori Kanemura, Hideitsu Hino |
| 2014 | ICANN | A Non-parametric Maximum Entropy Clustering. | Hideitsu Hino, Noboru Murata |
| 2014 | ICANN | An Algorithm for Directed Graph Estimation. | Hideitsu Hino, Atsushi Noda, Masami Tatsuno, Shotaro Akaho, Noboru Murata |
| 2014 | ICONIP | A Kernel Method to Extract Common Features Based on Mutual Information. | Takamitsu Araki, Hideitsu Hino, Shotaro Akaho |
| 2014 | ICPR | Sensing Visual Attention by Sequential Patterns. | Yasuyuki Yamazaki, Hideitsu Hino, Kazuhiro Fukui |
| 2013 | CAIP | Pairwise Similarity for Line Extraction from Distorted Images. | Hideitsu Hino, Jun Fujiki, Shotaro Akaho, Yoshihiko Mochizuki, Noboru Murata |
| 2012 | ICONIP | Robust Hypersurface Fitting Based on Random Sampling Approximations. | Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata |
| 2012 | ICPR | An improved entropy-based multiple kernel learning. | Hideitsu Hino, Tetsuji Ogawa |
| 2012 | ICPR | Sliced inverse regression with conditional entropy minimization. | Hideitsu Hino, Keigo Wakayama, Noboru Murata |
| 2011 | CAIP | Robust Hyperplane Fitting Based on k-th Power Deviation and α-Quantile. | Jun Fujiki, Shotaro Akaho, Hideitsu Hino, Noboru Murata |
| 2011 | ICANN | A Computationally Efficient Information Estimator for Weighted Data. | Hideitsu Hino, Noboru Murata |
| 2011 | ICASSP | Speaker recognition using multiple kernel learning based on conditional entropy minimization. | Tetsuji Ogawa, Hideitsu Hino, Nima Reyhani, Noboru Murata, Tetsunori Kobayashi |
| 2011 | ICMLA | Extraction of Basic Patterns of Household Energy Consumption. | Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao |
| 2011 | ICMLA | A Measure of Credibility of Solar Power Prediction. | Haoyang Shen, Hideitsu Hino, Noboru Murata, Shinji Wakao |
| 2011 | Interspeech | Speaker Verification Robust to Talking Style Variation Using Multiple Kernel Learning Based on Conditional Entropy Minimization. | Tetsuji Ogawa, Hideitsu Hino, Noboru Murata, Tetsunori Kobayashi |
| 2011 | UAI | New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices. | Nima Reyhani, Hideitsu Hino, Ricardo Vigrio |
| 2010 | ICMLA | Multiple Kernel Learning by Conditional Entropy Minimization. | Hideitsu Hino, Nima Reyhani, Noboru Murata |
| 2010 | ICPR | Self-Calibration of Radially Symmetric Distortion by Model Selection. | Jun Fujiki, Hideitsu Hino, Yumi Usami, Shotaro Akaho, Noboru Murata |
| 2009 | CAIP | Calibration of Radially Symmetric Distortion by Fitting Principal Component. | Hideitsu Hino, Yumi Usami, Jun Fujiki, Shotaro Akaho, Noboru Murata |
| 2009 | IC3K | Item-user Preference Mapping with Mixture Models - Data Visualization for Item Preference. | Yu Fujimoto, Hideitsu Hino, Noboru Murata |
| 2009 | ISNN | An Information Theoretic Perspective of the Sparse Coding. | Hideitsu Hino, Noboru Murata |
| 2009 | PAKDD | Item Preference Parameters from Grouped Ranking Observations. | Hideitsu Hino, Yu Fujimoto, Noboru Murata |