Kenji Fukumizu

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

ORCID: 0000-0002-3488-2625

The Institute of Statistical Mathematics

Publications

• A kernel Stein test for comparing latent variable models — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2023
• Advantage of Deep Neural Networks for Estimating Functions with Singularity on Hypersurfaces — 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
• Density Estimation in Infinite Dimensional Exponential Families — Journal of Machine Learning Research 2017 (name-matched, not ORCID-linked)
• Kernel Method for Persistence Diagrams via Kernel Embedding and Weight Factor — Journal of Machine Learning Research 2017 (name-matched, not ORCID-linked)
• Characteristic Kernels and Infinitely Divisible Distributions — Journal of Machine Learning Research 2016 (name-matched, not ORCID-linked)
• Kernel Mean Shrinkage Estimators — Journal of Machine Learning Research 2016 (name-matched, not ORCID-linked)
• Gradient-Based Kernel Dimension Reduction for Regression — Journal of the American Statistical Association 2014
• Kernel Bayes' Rule: Bayesian Inference with Positive Definite Kernels — Journal of Machine Learning Research 2013 (name-matched, not ORCID-linked)
• Equivalence of distance-based and RKHS-based statistics in hypothesis testing — The Annals of Statistics 2013
• Universality, Characteristic Kernels and RKHS Embedding of Measures — Journal of Machine Learning Research 2011 (name-matched, not ORCID-linked)
• Hilbert Space Embeddings and Metrics on Probability Measures — Journal of Machine Learning Research 2010 (name-matched, not ORCID-linked)
• Kernel dimension reduction in regression — The Annals of Statistics 2009
• Discussion of: Brownian distance covariance — The Annals of Applied Statistics 2009
• Statistical Consistency of Kernel Canonical Correlation Analysis — Journal of Machine Learning Research 2007 (name-matched, not ORCID-linked)
• Semigroup Kernels on Measures — Journal of Machine Learning Research 2005 (name-matched, not ORCID-linked)
• Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces — Journal of Machine Learning Research 2004 (name-matched, not ORCID-linked)
• Likelihood ratio of unidentifiable models and multilayer neural networks — The Annals of Statistics 2003