Kazuho Watanabe

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 33

Top Topics

Parallel Coordinates

Vector Quantization

Distortion Measure

Top Venues

IEICE Trans. Fundam. Electron. Commun. Comput. Sci.

IEEE Trans. Inf. Theory

Publications

Masahiro Kobayashi, Kazuho Watanabe
Unbiased Estimating Equation and Latent Bias Under f-Separable Bregman Distortion Measures. IEEE Trans. Inf. Theory 70 (8) (2024)
Masahiro Kobayashi, Kazuho Watanabe
Unbiased Estimating Equation on Inverse Divergence and Its Conditions. CoRR (2024)
Akiharu Omae, Kazuho Watanabe
Approximate Empirical Bayes Estimation of the Regularization Parameter in ℓ1 Trend Filtering. ISIT (2022)
Shigeo Takahashi, Akane Uchita, Kazuho Watanabe, Masatoshi Arikawa
Gaze-driven placement of items for proactive visual exploration. J. Vis. 25 (3) (2022)
Masato Kikuchi, Kento Kawakami, Kazuho Watanabe, Mitsuo Yoshida, Kyoji Umemura
Unified Likelihood Ratio Estimation for High- to Zero-frequency N-grams. CoRR (2021)
Kazuho Watanabe
Statistical Learning of the Insensitive Parameter in Support Vector Models. ISIT (2021)
Masahiro Kobayashi, Kazuho Watanabe
-separable distortion measures. Neurocomputing 458 (2021)
Masato Kikuchi, Kento Kawakami, Kazuho Watanabe, Mitsuo Yoshida, Kyoji Umemura
-Grams. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (8) (2021)
Masahiro Kobayashi, Kazuho Watanabe
Unbiased Estimation Equation under $f$-Separable Bregman Distortion Measures. CoRR (2020)
Shigeo Takahashi, Akane Uchita, Kazuho Watanabe, Masatoshi Arikawa
Context-aware placement of items with gaze-based interaction. VINCI (2020)
Daisuke Kaji, Kazuho Watanabe, Masahiro Kobayashi
Multi-Decoder RNN Autoencoder Based on Variational Bayes Method. CoRR (2020)
Daisuke Kaji, Kazuho Watanabe, Masahiro Kobayashi
Multi-Decoder RNN Autoencoder Based on Variational Bayes Method. IJCNN (2020)
Masahiro Kobayashi, Kazuho Watanabe
Unbiased Estimation Equation under f-Separable Bregman Distortion Measures. ITW (2020)
Kazuho Watanabe
Discrete Optimal Reconstruction Distributions for Itakura-Saito Distortion Measure. ISIT (2020)
Kenta Konagayoshi, Kazuho Watanabe
Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation. ACML (2019)
Masahiro Kobayashi, Kazuho Watanabe
Generalized Dirichlet-process-means for f-separable distortion measures. CoRR (2019)
Masahiro Kobayashi, Kazuho Watanabe
Generalized Dirichlet-Process-Means for Robust and Maximum Distortion Criteria. ISITA (2018)
Tsukasa Yoshida, Takafumi Moriya, Kazuho Watanabe, Yusuke Shinohara, Yoshikazu Yamaguchi, Yushi Aono
Automatic DNN Node Pruning Using Mixture Distribution-based Group Regularization. INTERSPEECH (2018)
Ryota Konabe, Kazuho Watanabe
Sparse Regression Code with Sparse Dictionary for Absolute Error Criterion. ISIT (2018)
Tsukasa Yoshida, Kazuho Watanabe
Regularization: A Detailed Analysis in the One-Parameter Lasso Model. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (12) (2018)
Kazuho Watanabe
Rate-Distortion Bounds for Kernel-Based Distortion Measures. Entropy 19 (7) (2017)
Kazuho Watanabe
Rate-distortion tradeoffs under Kernel-based distortion measures. ISIT (2017)
Hsiang-Yun Wu, Yusuke Niibe, Kazuho Watanabe, Shigeo Takahashi, Makoto Uemura, Issei Fujishiro
Making many-to-many parallel coordinate plots scalable by asymmetric biclustering. PacificVis (2017)
Kazuho Watanabe
Projection to Mixture Families and Rate-Distortion Bounds with Power Distortion Measures. Entropy 19 (6) (2017)
Kazuho Watanabe
Constant-width rate-distortion bounds for power distortion measures. ITW (2016)
Kazuho Watanabe, Shiro Ikeda
Rate-Distortion Functions for Gamma-Type Sources Under Absolute-Log Distortion Measure. IEEE Trans. Inf. Theory 62 (10) (2016)
Kazuho Watanabe
-Insensitive Distortion Measures. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (1) (2016)
Kazuho Watanabe, Hsiang-Yun Wu, Yusuke Niibe, Shigeo Takahashi, Issei Fujishiro
Biclustering multivariate data for correlated subspace mining. PacificVis (2015)
Kazuho Watanabe, Shiro Ikeda
Entropic risk minimization for nonparametric estimation of mixing distributions. Mach. Learn. 99 (1) (2015)
Kazuho Watanabe
Vector quantization based on ε-insensitive mixture models. Neurocomputing 165 (2015)
Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, Masa-aki Sato
Variational Inference With ARD Prior for NIRS Diffuse Optical Tomography. IEEE Trans. Neural Networks Learn. Syst. 26 (5) (2015)
Takuya Konishi, Takatomi Kubo, Kazuho Watanabe, Kazushi Ikeda
Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data. IEEE Trans. Neural Networks Learn. Syst. 26 (9) (2015)
Kazuho Watanabe, Teemu Roos
Achievability of asymptotic minimax regret by horizon-dependent and horizon-independent strategies. J. Mach. Learn. Res. 16 (2015)
Koto Nohno, Hsiang-Yun Wu, Kazuho Watanabe, Shigeo Takahashi, Issei Fujishiro
Spectral-Based Contractible Parallel Coordinates. IV (2014)
Andrew R. Barron, Teemu Roos, Kazuho Watanabe
Bayesian properties of normalized maximum likelihood and its fast computation. ISIT (2014)
Andrew R. Barron, Teemu Roos, Kazuho Watanabe
Bayesian Properties of Normalized Maximum Likelihood and its Fast Computation. CoRR (2014)
Shinichi Nakajima, Issei Sato, Masashi Sugiyama, Kazuho Watanabe, Hiroko Kobayashi
Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP. NIPS (2014)
Kazuho Watanabe
Rate-distortion bounds for an ε-insensitive distortion measure. ITW (2013)
Kazuho Watanabe
Vector Quantization Using Mixture of Epsilon-Insensitive Components. ICONIP (3) (2013)
Kazuho Watanabe, Teemu Roos, Petri Myllymäki
Achievability of Asymptotic Minimax Regret in Online and Batch Prediction. ACML (2013)
Kazuho Watanabe, Shiro Ikeda
Rate-distortion function for gamma sources under absolute-log distortion measure. ISIT (2013)
Kazuho Watanabe
Rate-Distortion Bounds for an Epsilon-Insensitive Distortion Measure CoRR (2013)
Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda
Packet loss rate estimation with active and passive measurements. APSIPA (2012)
Kazuho Watanabe
An alternative view of variational Bayes and asymptotic approximations of free energy. Mach. Learn. 86 (2) (2012)
Kazuho Watanabe, Masato Okada
Approximate Bayesian Estimation of Varying Binomial Process. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (12) (2011)
Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda, Masa-aki Sato
Phase diagrams of a variational Bayesian approach with ARD prior in NIRS-DOT. IJCNN (2011)
Kazuho Watanabe, Masato Okada, Kazushi Ikeda
Divergence measures and a general framework for local variational approximation. Neural Networks 24 (10) (2011)
Daisuke Kaji, Kazuho Watanabe, Sumio Watanabe
Phase Transition of Variational Bayes Learning in Bernoulli Mixture. Aust. J. Intell. Inf. Process. Syst. 11 (4) (2010)
Kazuho Watanabe, Shotaro Akaho, Shinichiro Omachi, Masato Okada
Variational Bayesian Mixture Model on a Subspace of Exponential Family Distributions. IEEE Trans. Neural Networks 20 (11) (2009)
Kazuho Watanabe, Motoki Shiga, Sumio Watanabe
Upper bound for variational free energy of Bayesian networks. Mach. Learn. 75 (2) (2009)
Kazuho Watanabe, Hiroyuki Tanaka, Keiji Miura, Masato Okada
Transfer Matrix Method for Instantaneous Spike Rate Estimation. IEICE Trans. Inf. Syst. (7) (2009)
Kazuho Watanabe, Masato Okada
Firing Rate Estimation Using an Approximate Bayesian Method. ICONIP (1) (2008)
Kazuho Watanabe, Shotaro Akaho, Masato Okada
Clustering on a Subspace of Exponential Family Using Variational Bayes Method. ITSL (2008)
Kazuho Watanabe, Sumio Watanabe
Stochastic complexities of general mixture models in variational Bayesian learning. Neural Networks 20 (2) (2007)
Kazuho Watanabe, Sumio Watanabe
Stochastic complexity for mixture of exponential families in generalized variational Bayes. Theor. Comput. Sci. 387 (1) (2007)
Tikara Hosino, Kazuho Watanabe, Sumio Watanabe
Free Energy of Stochastic Context Free Grammar on Variational Bayes. ICONIP (1) (2006)
Kazuho Watanabe, Sumio Watanabe
Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation. J. Mach. Learn. Res. 7 (2006)
Kazuho Watanabe, Motoki Shiga, Sumio Watanabe
Upper Bounds for Variational Stochastic Complexities of Bayesian Networks. IDEAL (2006)
Kazuho Watanabe, Sumio Watanabe
Variational Bayesian Stochastic Complexity of Mixture Models. NIPS (2005)
Kazuho Watanabe, Sumio Watanabe
Stochastic Complexity for Mixture of Exponential Families in Variational Bayes. ALT (2005)
Kazuho Watanabe, Sumio Watanabe
Estimation of the Data Region Using Extreme-Value Distributions. ALT (2004)