| 2026 | AAAI | Statistically Robust Sparse High-order Interaction Model. | Diptesh Das, Ichiro Takeuchi, Koji Tsuda |
| 2022 | AAAI | Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model. | Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi |
| 2017 | ICML | Tensor Balancing on Statistical Manifold. | Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda |
| 2017 | ICML | Selective Inference for Sparse High-Order Interaction Models. | Shinya Suzumura, Kazuya Nakagawa, Yuta Umezu, Koji Tsuda, Ichiro Takeuchi |
| 2016 | ISIT | Information decomposition on structured space. | Mahito Sugiyama, Hiroyuki Nakahara, Koji Tsuda |
| 2016 | KDD | Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining. | Kazuya Nakagawa, Shinya Suzumura, Masayuki Karasuyama, Koji Tsuda, Ichiro Takeuchi |
| 2016 | PAKDD | Significant Pattern Mining with Confounding Variables. | Aika Terada, David duVerle, Koji Tsuda |
| 2015 | KDD | Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries. | Yukino Baba, Hisashi Kashima, Yasunobu Nohara, Eiko Kai, Partha Pratim Ghosh, Rafiqul Islam Maruf, Ashir Ahmed, Masahiro Kuroda, Sozo Inoue, Tatsuo Hiramatsu, Michio Kimura, Shuji Shimizu, Kunihisa Kobayashi, Koji Tsuda, Masashi Sugiyama, Mathieu Blondel, Naonori Ueda, Masaru Kitsuregawa, Naoki Nakashima |
| 2015 | SAC | BDD construction for all solutions SAT and efficient caching mechanism. | Takahisa Toda, Koji Tsuda |
| 2015 | SP | Privacy-Preserving Statistical Analysis by Exact Logistic Regression. | David A. duVerle, Shohei Kawasaki, Yoshiji Yamada, Jun Sakuma, Koji Tsuda |
| 2015 | WALCOM | Superset Generation on Decision Diagrams. | Takahisa Toda, Shogo Takeuchi, Koji Tsuda, Shin-ichi Minato |
| 2014 | ACML | Online matrix prediction for sparse loss matrices. | Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto, Koji Tsuda |
| 2011 | PAKDD | LGM: Mining Frequent Subgraphs from Linear Graphs. | Yasuo Tabei, Daisuke Okanohara, Shuichi Hirose, Koji Tsuda |
| 2011 | SDM | Kernel-based Similarity Search in Massive Graph Databases with Wavelet Trees. | Yasuo Tabei, Koji Tsuda |
| 2009 | KDD | Multi-way set enumeration in real-valued tensors. | Elisabeth Georgii, Koji Tsuda, Bernhard Schlkopf |
| 2009 | PAKDD | On Pairwise Kernels: An Efficient Alternative and Generalization Analysis. | Hisashi Kashima, Satoshi Oyama, Yoshihiro Yamanishi, Koji Tsuda |
| 2009 | SDM | A Bayesian Approach to Graphy Regression with Relevant Subgraph Selection. | Silvia Chiappa, Hiroto Saigo, Koji Tsuda |
| 2009 | SDM | Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction. | Hisashi Kashima, Tsuyoshi Kato, Yoshihiro Yamanishi, Masashi Sugiyama, Koji Tsuda |
| 2008 | ICDM | Frequent Subgraph Retrieval in Geometric Graph Databases. | Sebastian Nowozin, Koji Tsuda |
| 2008 | ICDM | Iterative Subgraph Mining for Principal Component Analysis. | Hiroto Saigo, Koji Tsuda |
| 2008 | KDD | Partial least squares regression for graph mining. | Hiroto Saigo, Nicole Krmer, Koji Tsuda |
| 2008 | SDM | Graph Mining with Variational Dirichlet Process Mixture Models. | Koji Tsuda, Kenichi Kurihara |
| 2007 | CVPR | Weighted Substructure Mining for Image Analysis. | Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gkhan H. Bakir |
| 2007 | ICCV | Discriminative Subsequence Mining for Action Classification. | Sebastian Nowozin, Gkhan H. Bakir, Koji Tsuda |
| 2007 | ICML | Entire regularization paths for graph data. | Koji Tsuda |
| 2007 | SDM | Change-Point Detection using Krylov Subspace Learning. | Tsuyoshi Id, Koji Tsuda |
| 2006 | ICML | Clustering graphs by weighted substructure mining. | Koji Tsuda, Taku Kudo |
| 2005 | ECCB | Fast protein classification with multiple networks. | Koji Tsuda, Hyunjung Shin, Bernhard Schlkopf |
| 2005 | ICML | Propagating distributions on a hypergraph by dual information regularization. | Koji Tsuda |
| 2004 | ISMB | Learning kernels from biological networks by maximizing entropy. | Koji Tsuda, William Stafford Noble |
| 2004 | SSPR | A New Variational Framework for Rigid-Body Alignment. | Tsuyoshi Kato, Koji Tsuda, Kentaro Tomii, Kiyoshi Asai |
| 2003 | ICML | Marginalized Kernels Between Labeled Graphs. | Hisashi Kashima, Koji Tsuda, Akihiro Inokuchi |
| 2002 | ECCB | Modeling splicing sites with pairwise correlations. | Masanori Arita, Koji Tsuda, Kiyoshi Asai |
| 2002 | ICANN | The Leave-One-Out Kernel. | Koji Tsuda, Motoaki Kawanabe |
| 2002 | ISMB | Marginalized kernels for biological sequences. | Koji Tsuda, Taishin Kin, Kiyoshi Asai |
| 2001 | CVPR | Pairwise Coupling for Machine Recognition of Hand-Printed Japanese Characters. | Volker Roth, Koji Tsuda |
| 2001 | ICANN | Learning to Predict the Leave-One-Out Error of Kernel Based Classifiers. | Koji Tsuda, Gunnar Rtsch, Sebastian Mika, Klaus-Robert Mller |
| 2000 | IJCNN | Large Margin Classifier via Semiparametric Inference. | Koji Tsuda, Shotaro Akaho |
| 1999 | ESANN | Support vector classifier with asymetric kernel function. | Koji Tsuda |
| 1999 | IJCNN | Subspace classifier in reproducing kernel Hilbert space. | Koji Tsuda |
| 1998 | IVCNZ | Pattern Recognition Method for Metric Space by Four Points Embedding. | Hideya Yoshiuchi, Koji Tsuda, Shigenobu Fukushima, Michihiko Minoh |
| 1997 | ICDAR | A Nonparametric Density Model for Classification in a High Dimensional Space. | Koji Tsuda, Michihiko Minoh |
| 1995 | ICDAR | Clustering OCR-ed texts for browsing document image database. | Koji Tsuda, Shuji Senda, Michihiko Minoh, Katsuo Ikeda |