Hino, Hideitsu

16 publications

AISTATS 2025 A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence Takahiro Kawashima, Hideitsu Hino

ECML-PKDD 2025 An (ε ,δ )-Accurate Level Set Estimation with a Stopping Criterion Hideaki Ishibashi, Kota Matsui, Kentaro Kutsukake, Hideitsu Hino

NeurIPS 2025 An Efficient Orlicz-Sobolev Approach for Transporting Unbalanced Measures on a Graph Tam Le, Truyen Nguyen, Hideitsu Hino, Kenji Fukumizu

ICLR 2025 Difference-of-Submodular Bregman Divergence Masanari Kimura, Takahiro Kawashima, Tasuku Soma, Hideitsu Hino

TMLR 2025 Dynamics of the Accelerated T-SNE Kyoichi Iwasaki, Hideitsu Hino

ICML 2025 Scalable Sobolev IPM for Probability Measures on a Graph Tam Le, Truyen Nguyen, Hideitsu Hino, Kenji Fukumizu

TMLR 2025 Tree Structure for the Categorical Wasserstein Weisfeiler-Lehman Graph Kernel Keishi Sando, Tam Le, Hideitsu Hino

TMLR 2024 A Short Survey on Importance Weighting for Machine Learning Masanari Kimura, Hideitsu Hino

NeurIPSW 2024 Optimal Spectroscopic Measurement Design: Bayesian Framework for Rational Data Acquisition Yusei Ito, Yasuo Takeichi, Hideitsu Hino, Kanta Ono

CLeaR 2024 Scalable Counterfactual Distribution Estimation in Multivariate Causal Models Thong Pham, Shohei Shimizu, Hideitsu Hino, Tam Le

AISTATS 2023 A Stopping Criterion for Bayesian Optimization by the Gap of Expected Minimum Simple Regrets Hideaki Ishibashi, Masayuki Karasuyama, Ichiro Takeuchi, Hideitsu Hino

TMLR 2023 Minorization-Maximization for Learning Determinantal Point Processes Takahiro Kawashima, Hideitsu Hino

AISTATS 2022 One-Bit Submission for Locally Private Quasi-MLE: Its Asymptotic Normality and Limitation Hajime Ono, Kazuhiro Minami, Hideitsu Hino

AAAI 2021 Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization Takahiro Kawashima, Hayaru Shouno, Hideitsu Hino

AISTATS 2020 Stopping Criterion for Active Learning Based on Deterministic Generalization Bounds Hideaki Ishibashi, Hideitsu Hino

UAI 2011 New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices Nima Reyhani, Hideitsu Hino, Ricardo Vigário