Masashi Sugiyama

19 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0001-6658-6743

RIKEN

Publications

• Universal Approximation Property of Invertible Neural Networks — Journal of Machine Learning Research 2023 (name-matched, not ORCID-linked)
• Fast and Robust Rank Aggregation against Model Misspecification — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
• Learning from Noisy Pairwise Similarity and Unlabeled Data — Journal of Machine Learning Research 2022 (name-matched, not ORCID-linked)
• Support consistency of direct sparse-change learning in Markov networks — The Annals of Statistics 2017
• Mode-Seeking Clustering and Density Ridge Estimation via Direct Estimation of Density-Derivative-Ratios — Journal of Machine Learning Research 2017
• Condition for Perfect Dimensionality Recovery by Variational Bayesian PCA — Journal of Machine Learning Research 2015
• Maximum Volume Clustering: A New Discriminative Clustering Approach — Journal of Machine Learning Research 2013 (name-matched, not ORCID-linked)
• Fast learning rate of multiple kernel learning: Trade-off between sparsity and smoothness — The Annals of Statistics 2013
• Global Analytic Solution of Fully-observed Variational Bayesian Matrix Factorization — Journal of Machine Learning Research 2013
• Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation — Journal of Machine Learning Research 2011 (name-matched, not ORCID-linked)
• Theoretical Analysis of Bayesian Matrix Factorization — Journal of Machine Learning Research 2011 (name-matched, not ORCID-linked)
• The Degrees of Freedom of Partial Least Squares Regression — Journal of the American Statistical Association 2011
• A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin — Journal of Machine Learning Research 2011 (name-matched, not ORCID-linked)
• A Least-squares Approach to Direct Importance Estimation — Journal of Machine Learning Research 2009 (name-matched, not ORCID-linked)
• Covariate Shift Adaptation by Importance Weighted Cross Validation — Journal of Machine Learning Research 2007 (name-matched, not ORCID-linked)
• Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis — Journal of Machine Learning Research 2007 (name-matched, not ORCID-linked)
• Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error — Journal of Machine Learning Research 2006 (name-matched, not ORCID-linked)
• In Search of Non-Gaussian Components of a High-Dimensional Distribution — Journal of Machine Learning Research 2006 (name-matched, not ORCID-linked)
• The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces — Journal of Machine Learning Research 2002 (name-matched, not ORCID-linked)