← All authors Kenji Fukumizu The Institute of Statistical Mathematics (from arXiv:2110.05225, 2021) · ORCID · OpenAlex
52 papers in scope · 50 published · 2 on the econ.EM arXiv · 4,089 citations · h-index 24 (over the papers listed here)
Related authors The 20 authors closest to this one in our weighted citation graph, most related first.
Pengzhou Wu Arash Mehrjou Si Kai Lee Anant Raj Krikamol Muandet Stéphane Bonhomme Maneesh Sahani Kenichi Nagasawa Arthur Gretton Martin Weidner Timothy B. Armstrong Rahul Singh Max H. Farrell Michal Kolesár Krishnakumar Balasubramanian Lifeng Lai Yuhao Zhou Ziyu Wang Jun Zhu Andrew Bennett Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md .
Papers (2 of 52)
State-Separated SARSA: A Practical Sequential Decision-Making Algorithm with Recovering Rewards
published 2026 · Algorithms
with Yuto Tanimoto
Kernel mean embedding of probability measures and its applications to functional data analysis
published 2023 · Scandinavian Journal of Statistics · 3 citations · first circulated 2020
with Saeed Hayati, Afshin Parvardeh
A kernel Stein test for comparing latent variable models
published 2023 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 7 citations · first circulated 2019
ALGAN: Anomaly Detection by Generating Pseudo Anomalous Data via Latent Variables
published 2022 · IEEE Access · 17 citations
with Hironori Murase
working paper 2021 · arXiv · 2 citations
working paper 2021 · arXiv · 1 citations
Meta Learning for Causal Direction
published 2021 · Proceedings of the AAAI Conference on Artificial Intelligence · 13 citations · first circulated 2020
with Jean-François Ton, Dino Sejdinović
A General Class of Transfer Learning Regression without Implementation Cost
published 2021 · Proceedings of the AAAI Conference on Artificial Intelligence · 4 citations · first circulated 2020
with Shunya Minami, Song Liu, Stephen Wu, Ryo Yoshida
A reproducing kernel Hilbert space approach to high dimensional partially varying coefficient model
published 2020 · Computational Statistics & Data Analysis · 3 citations
with Shaogao Lv, Zengyan Fan, Heng Lian, Taiji Suzuki
Model-based kernel sum rule: kernel Bayesian inference with probabilistic models
published 2020 · Machine Learning · 2 citations · first circulated 2014
Disjunct support spike‐and‐slab priors for variable selection in regression under quasi‐sparseness
published 2020 · Stat · first circulated 2019
with Daniel Andrade
Robust Bayesian model selection for variable clustering with the Gaussian graphical model
published 2019 · Statistics and Computing · 5 citations · first circulated 2018
with Daniel Andrade, Akiko Takeda
Kernel Method for Persistence Diagrams via Kernel Embedding and Weight Factor
published 2018 · Journal of Machine Learning Research · 44 citations · first circulated 2017
Post Selection Inference with Kernels.
published 2018 · International Conference on Artificial Intelligence and Statistics · 16 citations · first circulated 2016
with Makoto Yamada, Yuta Umezu, Ichiro Takeuchi
Kernel Mean Embedding of Distributions: A Review and Beyond
published 2017 · Foundations and Trends® in Machine Learning · 389 citations
Support consistency of direct sparse-change learning in Markov networks
published 2017 · The Annals of Statistics · 16 citations · first circulated 2014
with Song Liu, Taiji Suzuki, Raissa Relator, Jun Sese, Masashi Sugiyama
Learning sparse structural changes in high-dimensional Markov networks
published 2017 · Behaviormetrika · 15 citations · first circulated 2014
with Song Liu, Taiji Suzuki, Masashi Sugiyama
Unsupervised group matching with application to cross-lingual topic matching without alignment information
published 2016 · Data Mining and Knowledge Discovery · 8 citations
with Tomoharu Iwata, Motonobu Kanagawa, Tsutomu Hirao
Persistence weighted Gaussian kernel for topological data analysis
published 2016 · International Conference on Machine Learning · 89 citations
Flattening the Density Gradient for Eliminating Spatial Centrality to Reduce Hubness
published 2016 · Proceedings of the AAAI Conference on Artificial Intelligence · 9 citations
with Kazuo Hara, Ikumi Suzuki, Kei Kobayashi, Miloš Radovanović
Convergence guarantees for kernel-based quadrature rules in misspecified settings
published 2016 · Neural Information Processing Systems · 15 citations
with Motonobu Kanagawa, Bharath K. Sriperumbudur
Computing functions of random variables via reproducing kernel Hilbert space representations
published 2015 · Statistics and Computing · 31 citations
Localized Centering: Reducing Hubness in Large-Sample Data
published 2015 · Proceedings of the AAAI Conference on Artificial Intelligence · 29 citations
with Kazuo Hara, Ikumi Suzuki, Masashi Shimbo, Kei Kobayashi, Miloš Radovanović
Kernel-Based Information Criterion
published 2015 · Computer and Information Science · 5 citations · first circulated 2014
with Somayeh Danafar, Faustino Gomez
Monte Carlo Filtering Using Kernel Embedding of Distributions
published 2014 · Proceedings of the AAAI Conference on Artificial Intelligence · 12 citations
Recovering Distributions from Gaussian RKHS Embeddings
published 2014 · International Conference on Artificial Intelligence and Statistics · 18 citations
with Motonobu Kanagawa
no link
Equivalence of distance-based and RKHS-based statistics in hypothesis testing
published 2013 · The Annals of Statistics · 595 citations · first circulated 2012
Gradient-Based Kernel Dimension Reduction for Regression
published 2013 · Journal of the American Statistical Association · 70 citations
Kernel Embeddings of Conditional Distributions: A Unified Kernel Framework for Nonparametric Inference in Graphical Models
published 2013 · IEEE Signal Processing Magazine · 212 citations
Special Issue on Advances in Kernel-Based Learning for Signal Processing [From the Guest Editors]
published 2013 · IEEE Signal Processing Magazine · 10 citations
with Klaus-Robert Müller, Tülay Adalı, José C. Príncipe, Sergios Theodoridis
On the empirical estimation of integral probability metrics
published 2012 · Electronic Journal of Statistics · 238 citations
Kernel Bayes' Rule
published 2011 · Neural Information Processing Systems · 49 citations · first circulated 2010
Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint
published 2011 · Neural Information Processing Systems · 25 citations
with Gert Lanckriet, Bharath K. Sriperumbudur
no link
Universality, Characteristic Kernels and RKHS Embedding of Measures
published 2011 · Journal of Machine Learning Research · 266 citations · first circulated 2010
with Bharath K. Sriperumbudur, Gert Lanckriet
Hilbert Space Embeddings and Metrics on Probability Measures
published 2010 · Journal of Machine Learning Research · 485 citations · first circulated 2009
Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions
published 2009 · Neural Information Processing Systems · 159 citations
no link
Discussion of: Brownian distance covariance
published 2009 · The Annals of Applied Statistics · 24 citations
Kernel dimension reduction in regression
published 2009 · The Annals of Statistics · 298 citations
Loop series expansion with propagation diagrams
published 2008 · Journal of Physics A Mathematical and Theoretical · 6 citations
with Yusuke Watanabe
Relation between weight size and degree of over-fitting in neural network regression
published 2008 · Neural Networks · 68 citations
with Katsuyuki Hagiwara
Parameter estimation for von Mises–Fisher distributions
published 2007 · Computational Statistics · 57 citations
with Akihiro Tanabe, Shigeyuki Oba, Takashi Takenouchi, Shin Ishii
Semigroup Kernels on Measures
published 2005 · Journal of Machine Learning Research · 71 citations
with Marco Cuturi, Jean-Philippe Vert
no link
Likelihood ratio of unidentifiable models and multilayer neural networks
published 2003 · The Annals of Statistics · 86 citations
Preface
published 2003 · Annals of the Institute of Statistical Mathematics
with Yukito Iba, Takashi Tsuchiya, Koji Tsuda
Statistical Estimation in Singular Models.
published 2003 · The Brain & Neural Networks · 1 citations
Geometry of neural networks and models with singularities
published 2001 · AIP conference proceedings
Adaptive natural gradient learning algorithms for various stochastic models
published 2000 · Neural Networks · 174 citations
with H Park, Шун-ичи Амари
Local minima and plateaus in hierarchical structures of multilayer perceptrons
published 2000 · Neural Networks · 180 citations
with Шун-ичи Амари
Statistical active learning in multilayer perceptrons
published 2000 · IEEE Transactions on Neural Networks · 97 citations
A Regularity Condition of the Information Matrix of a Multilayer Perceptron Network
published 1996 · Neural Networks · 74 citations
A network of chaotic elements for information processing
published 1996 · Neural Networks · 72 citations
with Shin Ishi, Sumio Watanabe
Probabilistic design of layered neural networks based on their unified framework
published 1995 · IEEE Transactions on Neural Networks · 19 citations
with Sumio Watanabe
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