| 2025 | ICLR | Linear Mode Connectivity in Differentiable Tree Ensembles. | Ryuichi Kanoh, Mahito Sugiyama |
| 2025 | UAI | Optimal Submanifold Structure in Log-linear Models. | Zhou Derun, Mahito Sugiyama |
| 2024 | ICML | Neural Tangent Kernels for Axis-Aligned Tree Ensembles. | Ryuichi Kanoh, Mahito Sugiyama |
| 2024 | ICSE | Bringing Structure to Naturalness: On the Naturalness of ASTs. | Profir-Petru Prtachi, Mahito Sugiyama |
| 2023 | ICLR | Analyzing Tree Architectures in Ensembles via Neural Tangent Kernel. | Ryuichi Kanoh, Mahito Sugiyama |
| 2022 | AISTATS | Fast Rank-1 NMF for Missing Data with KL Divergence. | Kazu Ghalamkari, Mahito Sugiyama |
| 2022 | ICLR | A Neural Tangent Kernel Perspective of Infinite Tree Ensembles. | Ryuichi Kanoh, Mahito Sugiyama |
| 2021 | DSAA | Unsupervised Tensor based Feature Extraction and Outlier Detection for Multivariate Time Series. | Kiyotaka Matsue, Mahito Sugiyama |
| 2021 | RecSys | Investigating Overparameterization for Non-Negative Matrix Factorization in Collaborative Filtering. | Yuhi Kawakami, Mahito Sugiyama |
| 2021 | UAI | Hierarchical probabilistic model for blind source separation via Legendre transformation. | Simon Luo, Lamiae Azizi, Mahito Sugiyama |
| 2020 | DSAA | Coordinate Descent Method for Log-linear Model on Posets. | Shota Hayashi, Mahito Sugiyama, Shin Matsushima |
| 2019 | AAAI | Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions. | Simon Luo, Mahito Sugiyama |
| 2019 | IJCAI | Finding Statistically Significant Interactions between Continuous Features. | Mahito Sugiyama, Karsten M. Borgwardt |
| 2017 | ICML | Tensor Balancing on Statistical Manifold. | Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda |
| 2016 | ISIT | Information decomposition on structured space. | Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda |
| 2015 | KDD | Fast and Memory-Efficient Significant Pattern Mining via Permutation Testing. | Felipe Llinares-Lpez, Mahito Sugiyama, Laetitia Papaxanthos, Karsten M. Borgwardt |
| 2015 | SDM | Significant Subgraph Mining with Multiple Testing Correction. | Mahito Sugiyama, Felipe Llinares-Lpez, Niklas Kasenburg, Karsten M. Borgwardt |
| 2014 | SDM | Multi-Task Feature Selection on Multiple Networks via Maximum Flows. | Mahito Sugiyama, Chlo-Agathe Azencott, Dominik G. Grimm, Yoshinobu Kawahara, Karsten M. Borgwardt |
| 2013 | IJCAI | Measuring Statistical Dependence via the Mutual Information Dimension. | Mahito Sugiyama, Karsten M. Borgwardt |
| 2011 | ICCS | Semi-supervised Learning for Mixed-Type Data via Formal Concept Analysis. | Mahito Sugiyama, Akihiro Yamamoto |
| 2011 | ICDM | A Fast and Flexible Clustering Algorithm Using Binary Discretization. | Mahito Sugiyama, Akihiro Yamamoto |
| 2011 | ILP | Discovering Ligands for TRP Ion Channels Using Formal Concept Analysis. | Mahito Sugiyama, Kentaro Imajo, Keisuke Otaki, Akihiro Yamamoto |
| 2010 | ALT | Learning Figures with the Hausdorff Metric by Fractals. | Mahito Sugiyama, Eiju Hirowatari, Hideki Tsuiki, Akihiro Yamamoto |