Sugiyama, Mahito

30 publications

TMLR 2026 A Complete Decomposition of KL Error Using Refined Information and Mode Interaction Selection James Enouen, Mahito Sugiyama

ICLR 2026 Pseudo-Non-Linear Data Augmentation: A Constrained Energy Minimization Viewpoint Pingbang Hu, Mahito Sugiyama

ICLR 2026 Time-Gated Multi-Scale Flow Matching for Time-Series Imputation Hangtian Wang, Mahito Sugiyama

ICLRW 2025 Graph Transformers Express Monadic Second-Order Logic Tamara Drucks, Mahito Sugiyama

ICLR 2025 Linear Mode Connectivity in Differentiable Tree Ensembles Ryuichi Kanoh, Mahito Sugiyama

ICLRW 2025 On the Cone Effect in the Learning Dynamics Zhanpeng Zhou, Yongyi Yang, Jie Ren, Mahito Sugiyama, Junchi Yan

UAI 2025 Optimal Submanifold Structure in Log-Linear Models Zhou Derun, Mahito Sugiyama

ICML 2024 Neural Tangent Kernels for Axis-Aligned Tree Ensembles Ryuichi Kanoh, Mahito Sugiyama

ICLR 2023 Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel Ryuichi Kanoh, Mahito Sugiyama

ICMLW 2023 Investigating Axis-Aligned Differentiable Trees Through Neural Tangent Kernels Ryuichi Kanoh, Mahito Sugiyama

NeurIPS 2023 Many-Body Approximation for Non-Negative Tensors Kazu Ghalamkari, Mahito Sugiyama, Yoshinobu Kawahara

AISTATS 2022 Fast Rank-1 NMF for Missing Data with KL Divergence Kazu Ghalamkari, Mahito Sugiyama

ICLR 2022 A Neural Tangent Kernel Perspective of Infinite Tree Ensembles Ryuichi Kanoh, Mahito Sugiyama

NeurIPS 2021 Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation Kazu Ghalamkari, Mahito Sugiyama

UAI 2021 Hierarchical Probabilistic Model for Blind Source Separation via Legendre Transformation Simon Luo, Lamiae Azizi, Mahito Sugiyama

NeurIPSW 2020 A Deep Architecture for Log-Linear Models Simon Luo, Sally Cripps, Mahito Sugiyama

NeurIPSW 2020 Learning Joint Intensity in a Multivariate Poisson Process on Statistical Manifolds Simon Luo, Feng Zhou, Lamiae Azizi, Mahito Sugiyama

NeurIPSW 2020 Sample Space Truncation on Boltzmann Machines Mahito Sugiyama, Koji Tsuda, Hiroyuki Nakahara

NeurIPSW 2020 The Volume of Non-Restricted Boltzmann Machines and Their Double Descent Model Complexity Prasad Cheema, Mahito Sugiyama

AAAI 2019 Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions Simon Luo, Mahito Sugiyama

IJCAI 2019 Finding Statistically Significant Interactions Between Continuous Features Mahito Sugiyama, Karsten M. Borgwardt

NeurIPS 2018 Legendre Decomposition for Tensors Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda

ICML 2017 Tensor Balancing on Statistical Manifold Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda

NeurIPS 2015 Halting in Random Walk Kernels Mahito Sugiyama, Karsten Borgwardt

MLJ 2013 Learning Figures with the Hausdorff Metric by Fractals - Towards Computable Binary Classification Mahito Sugiyama, Eiju Hirowatari, Hideki Tsuiki, Akihiro Yamamoto

IJCAI 2013 Measuring Statistical Dependence via the Mutual Information Dimension Mahito Sugiyama, Karsten M. Borgwardt

NeurIPS 2013 Rapid Distance-Based Outlier Detection via Sampling Mahito Sugiyama, Karsten Borgwardt

ECML-PKDD 2011 The Minimum Code Length for Clustering Using the Gray Code Mahito Sugiyama, Akihiro Yamamoto

ALT 2010 Learning Figures with the Hausdorff Metric by Fractals Mahito Sugiyama, Eiju Hirowatari, Hideki Tsuiki, Akihiro Yamamoto

ACML 2010 The Coding Divergence for Measuring the Complexity of Separating Two Sets Mahito Sugiyama, Akihiro Yamamoto