Rchr
J-GLOBAL ID:200901016271972000   Update date: Jun. 04, 2020

FUKUMIZU Kenji

フクミズ ケンジ | FUKUMIZU Kenji
Affiliation and department:
Homepage URL  (2): http://www.ism.ac.jp/~fukumizu/http://www.ism.ac.jp/~fukumizu/
Research field  (2): Statistical science ,  Intelligent informatics
Research keywords  (3): belief propagation ,  machine learning ,  Kernel method
Research theme for competitive and other funds  (2):
  • Maximal Likelihood Estimation with Non-regular Models
  • Mathematical Study on Artificial Neural Networks
Papers (59):
  • Kanagawa, Motonobu, University of Tubingen, Sriperumbudur, Bharath Pennsylvania State University, Fukumizu, Kenji ISM. Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings. Foundations of Computational Mathematics. 2019. 1-40
  • Yokoi, Sho 東北大, 理研AIP, Kobayashi, Sosuke PFN, Fukumizu, Kenji ISM, Suzuki, Jun NTT, Communication, Science Laboratories, Inui, Kentaro, 東北大, 理研AIP. Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing. 2018. D18-1203. 1763-8211
  • Kajihara, Takafumi NEC, Kanagawa, Motonobu University of Tubingen, Yamazaki, Keisuke AIST, 産業技術総合研究所, Fukumizu, Kenji ISM. Kernel Recursive ABC: Point Estimation with Intractable Likelihood. Proceedings of the 35th International Conference on Machine Learning. 2018. PMLR 80. 2400-2409
  • Yamada, Makoto Kyoto, University, RIKEN AIP, Umezu, Yuta Nagoya, Institute of, Technology, Fukumizu, Kenji ISM, Takeuchi, Ichiro Nagoya, Institute of Technology. Post Selection Inference with Kernels. Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics. 2018. PMLR 84. 152-160
  • Kusano, Genki Tohoku, University, Fukumizu, Kenji The, Institute of, Statistical Mathematics, Hiraoka, Yasuaki Tohoku University. Kernel method for persistence diagrams via kernel embedding and weight factor. Journal of Machine Learning Research. 2017. 1
more...
MISC (14):
Books (4):
  • カーネル法入門 - 正定値カーネルによるデータ解析 -
    2010
  • Generalization error of linear neural networks in unidentifiable cases
    Lecture Notes in Artificial Intelligence 1720, Algorithmic Learning Theory 1999
  • Probabilistic design (共著)
    NEURAL NETWORK SYSTEMS TECHNIQUES AND APPLICATIONS Series 1997
  • Active learning in multilayer perceptrons
    Advances in Neural Information Processing Systems 1996
Lectures and oral presentations  (67):
  • Variational Learning on Aggregate Outputs with Gaussian Processes
    (NIPS 2018 2018)
  • Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions
    (2018 Conference on Empirical Methods in Natural Language Processing 2018)
  • Variational Learning on Aggregate Outputs with Gaussian Processes
    (Workshop on Computational Statistics and Machine Learning 2018)
  • Variational learning on aggregate outputs with Gaussian processes
    (2018)
  • Machine Learning Approach to Topological Data Analysis
    (ISL research seminar 2018)
more...
Education (2):
  • - 1989 Kyoto University Faculty of Science
  • - 1989 Kyoto University Faculty of Science
Awards (1):
  • 2017/12 - NIPS Best paper awards A Linear-Time Kernel Goodness-of-Fit Test
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

Return to Previous Page