Dept. of Computer Science and Engineering, Toyohashi University of Technology

e-mail: wkazuho <<p}p{>> cs.tut.ac.jp

Masahiro Kobayashi, Kazuho Watanabe,

Unbiased Estimation Equation under f-Separable Bregman Distortion Measures

Masahiro Kobayashi, Kazuho Watanabe,

Generalized Dirichlet-process-means for f-separable distortion measures <arXiv>

Neurocomputing, Special Issue on Advanced Methods in Optimization and Machine Learning for Heterogeneous Data Analytics

Daisuke Kaji, Kazuho Watanabe, Masahiro Kobayashi

"Multi-Decoder RNN Autoencoder Based on Variational Bayes Method"

"Discrete Optimal Reconstruction Distributions for Itakura-Saito Distortion Measure"

"Rate-distortion theoretic interpretation of Bayesian learning coefficients"

Kenta Konagayoshi, Kazuho Watanabe

"Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation" <pdf, supplementary>

"Variational Bayesian Learning Theory" (co-authored with Shinichi Nakajima and Masashi Sugiyama)

"Rate-distortion dimension and Bayesian learning coefficient"

Projection to Mixture Families and Rate-Distortion Bounds with Power Distortion Measures

Special Issue "Information Geometry II", 19(6), 262, 2017.

Rate-Distortion Bounds for Kernel-Based Distortion Measures

Special Issue "Information Theory in Machine Learning and Data Science", 19(7), 336, 2017.

"Rate-Distortion Tradeoffs under Kernel-Based Distortion Measures"

"Constant-Width Rate-Distortion Bounds for Power Distortion Measures"

Also I am one of big fans of Prof. MacKay's book...

Kazuho Watanabe and Shiro Ikeda,

"Rate-Distortion Functions for Gamma-Type Sources under Absolute-Log Distortion Measure"

Kazuho Watanabe, "Vector Quantization Based on Epsilon-Insensitive Mixture Models"

Kazuho Watanabe, Hsiang-Yun Wu, Yusuke Niibe, Shigeo Takahashi, and Issei Fujishiro,

"Biclustering Multivariate Data for Correlated Subspace Mining"

Kazuho Watanabe and Teemu Roos,

"Achievability of Asymptotic Minimax Regret by Horizon-Dependent and Horizon-Independent Strategies"

"Analysis of variational Bayesian latent Dirichlet allocation: weaker sparsity than MAP"

Takuya Konishi, Takatomi Kubo, Kazuho Watanabe, and Kazushi Ikeda,

"Variational Bayesian inference algorithms for infinite relational model of network data"

Kazuho Watanabe and Shiro Ikeda,

"Entropic risk minimization for nonparametric estimation of mixing distributions"

"Spectral-based contractible parallel coordinates"

"Rate-Distortion Analysis for an Epsilon-Insensitive Loss Function"

"Bayesian Properties of Normalized Maximum Likelihood and its Fast Computation"

Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, and Masa-aki Sato,

"Variational inference with ARD prior for NIRS diffuse optical tomography"

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My former pages, etc.:

MI lab at Nara Institute of Science and Technology (when I was an assistant prof)

The University of Tokyo (when I was a postdoc)

Tokyo Institute of Technology (when I was a graduate student)

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Otlichnyi tehnicheskii universitet esti tut, v Toyohashi.