Tsuda, Koji

28 publications

ICMLW 2023 Feature Importance Measurement Based on Decision Tree Sampling Chao Huang, Diptesh Das, Koji Tsuda

AAAI 2022 Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi

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

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

ICML 2017 Selective Inference for Sparse High-Order Interaction Models Shinya Suzumura, Kazuya Nakagawa, Yuta Umezu, Koji Tsuda, Ichiro Takeuchi

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

ECML-PKDD 2014 A Fast Method of Statistical Assessment for Combinatorial Hypotheses Based on Frequent Itemset Enumeration Shin-ichi Minato, Takeaki Uno, Koji Tsuda, Aika Terada, Jun Sese

ACML 2014 Online Matrix Prediction for Sparse Loss Matrices Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto, Koji Tsuda

MLJ 2011 Multi-Way Set Enumeration in Weight Tensors Elisabeth Georgii, Koji Tsuda, Bernhard Schölkopf

ACML 2010 Single Versus Multiple Sorting in All Pairs Similarity Search Yasuo Tabei, Takeaki Uno, Masashi Sugiyama, Koji Tsuda

NeurIPS 2009 Submodularity Cuts and Applications Yoshinobu Kawahara, Kiyohito Nagano, Koji Tsuda, Jeff A. Bilmes

MLJ 2009 gBoost: A Mathematical Programming Approach to Graph Classification and Regression Hiroto Saigo, Sebastian Nowozin, Tadashi Kadowaki, Taku Kudo, Koji Tsuda

AISTATS 2007 Bayesian Inference and Optimal Design in the Sparse Linear Model Matthias Seeger, Florian Steinke, Koji Tsuda

ICCV 2007 Discriminative Subsequence Mining for Action Classification Sebastian Nowozin, Gökhan H. Bakir, Koji Tsuda

ICML 2007 Entire Regularization Paths for Graph Data Koji Tsuda

CVPR 2007 Weighted Substructure Mining for Image Analysis Sebastian Nowozin, Koji Tsuda, Takeaki Uno, Taku Kudo, Gökhan H. Bakir

ICML 2006 Clustering Graphs by Weighted Substructure Mining Koji Tsuda, Taku Kudo

JMLR 2005 Matrix Exponentiated Gradient Updates for On-Line Learning and Bregman Projection Koji Tsuda, Gunnar Rätsch, Manfred K. Warmuth

ICML 2005 Propagating Distributions on a Hypergraph by Dual Information Regularization Koji Tsuda

NeCo 2004 Asymptotic Properties of the Fisher Kernel Koji Tsuda, Shotaro Akaho, Motoaki Kawanabe, Klaus-Robert Müller

NeurIPS 2004 Matrix Exponential Gradient Updates for On-Line Learning and Bregman Projection Koji Tsuda, Gunnar Rätsch, Manfred K. Warmuth

NeurIPS 2003 Image Reconstruction by Linear Programming Koji Tsuda, Gunnar Rätsch

ICML 2003 Marginalized Kernels Between Labeled Graphs Hisashi Kashima, Koji Tsuda, Akihiro Inokuchi

JMLR 2003 The EM Algorithm for Kernel Matrix Completion with Auxiliary Data Koji Tsuda, Shotaro Akaho, Kiyoshi Asai

NeCo 2002 A New Discriminative Kernel from Probabilistic Models Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller

NeurIPS 2002 Clustering with the Fisher Score Koji Tsuda, Motoaki Kawanabe, Klaus-Robert Müller

NeurIPS 2001 A New Discriminative Kernel from Probabilistic Models Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg, Klaus-Robert Müller

CVPR 2001 Pairwise Coupling for Machine Recognition of Hand-Printed Japanese Characters Volker Roth, Koji Tsuda