Estimation of the Data Region Using Extreme-Value Distributions. - Kazuho Watanabe; Sumio Watanabe (ALT, 2004)

Stochastic Complexity for Mixture of Exponential Families in Variational Bayes. - Kazuho Watanabe; Sumio Watanabe (ALT, 2005)

Stochastic complexity of variational Bayesian hidden Markov models. - Tikara Hosino; Kazuho Watanabe; Sumio Watanabe (IJCNN, 2005)

Variational Bayesian Stochastic Complexity of Mixture Models. - Kazuho Watanabe; Sumio Watanabe (NIPS, 2005)

Free Energy of Stochastic Context Free Grammar on Variational Bayes. - Tikara Hosino; Kazuho Watanabe; Sumio Watanabe (ICONIP (1), 2006)

Upper Bounds for Variational Stochastic Complexities of Bayesian Networks. - Kazuho Watanabe; Motoki Shiga; Sumio Watanabe (IDEAL, 2006)

Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation. - Kazuho Watanabe; Sumio Watanabe (J. Mach. Learn. Res., 2006)

Stochastic complexities of general mixture models in variational Bayesian learning. - Kazuho Watanabe; Sumio Watanabe (Neural Networks, 2007)

Stochastic complexity for mixture of exponential families in generalized variational Bayes. - Kazuho Watanabe; Sumio Watanabe (Theor. Comput. Sci., 2007)

Firing Rate Estimation Using an Approximate Bayesian Method. - Kazuho Watanabe; Masato Okada (ICONIP (1), 2008)

Clustering on a Subspace of Exponential Family Using Variational Bayes Method. - Kazuho Watanabe; Shotaro Akaho; Masato Okada (ITSL, 2008)

Transfer Matrix Method for Instantaneous Spike Rate Estimation. - Kazuho Watanabe; Hiroyuki Tanaka; Keiji Miura; Masato Okada (IEICE Trans. Inf. Syst., 2009)

Upper bound for variational free energy of Bayesian networks. - Kazuho Watanabe; Motoki Shiga; Sumio Watanabe (Mach. Learn., 2009)

Variational Bayesian Mixture Model on a Subspace of Exponential Family Distributions. - Kazuho Watanabe; Shotaro Akaho; Shinichiro Omachi; Masato Okada (IEEE Trans. Neural Networks, 2009)

Phase Transition of Variational Bayes Learning in Bernoulli Mixture. - Daisuke Kaji; Kazuho Watanabe; Sumio Watanabe (Aust. J. Intell. Inf. Process. Syst., 2010)

Phase diagrams of a variational Bayesian approach with ARD prior in NIRS-DOT. - Atsushi Miyamoto; Kazuho Watanabe; Kazushi Ikeda; Masa-aki Sato (IJCNN, 2011)

Approximate Bayesian Estimation of Varying Binomial Process. - Kazuho Watanabe; Masato Okada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2011)

Divergence measures and a general framework for local variational approximation. - Kazuho Watanabe; Masato Okada; Kazushi Ikeda (Neural Networks, 2011)

Packet loss rate estimation with active and passive measurements. - Atsushi Miyamoto; Kazuho Watanabe; Kazushi Ikeda (APSIPA, 2012)

An alternative view of variational Bayes and asymptotic approximations of free energy. - Kazuho Watanabe (Mach. Learn., 2012)

Achievability of Asymptotic Minimax Regret in Online and Batch Prediction. - Kazuho Watanabe; Teemu Roos; Petri Myllymäki (ACML, 2013)

Vector Quantization Using Mixture of Epsilon-Insensitive Components. - Kazuho Watanabe (ICONIP (3), 2013)

Rate-distortion function for gamma sources under absolute-log distortion measure. - Kazuho Watanabe; Shiro Ikeda (ISIT, 2013)

Rate-distortion bounds for an ε-insensitive distortion measure. - Kazuho Watanabe (ITW, 2013)

Rate-Distortion Bounds for an Epsilon-Insensitive Distortion Measure - Kazuho Watanabe (CoRR, 2013)

Bayesian properties of normalized maximum likelihood and its fast computation. - Andrew R. Barron; Teemu Roos; Kazuho Watanabe (ISIT, 2014)

Spectral-Based Contractible Parallel Coordinates. - Koto Nohno; Hsiang-Yun Wu; Kazuho Watanabe; Shigeo Takahashi; Issei Fujishiro (IV, 2014)

Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP. - Shinichi Nakajima; Issei Sato; Masashi Sugiyama; Kazuho Watanabe; Hiroko Kobayashi (NIPS, 2014)

Biclustering multivariate data for correlated subspace mining. - Kazuho Watanabe; Hsiang-Yun Wu; Yusuke Niibe; Shigeo Takahashi; Issei Fujishiro (PacificVis, 2015)

Vector quantization based on ε-insensitive mixture models. - Kazuho Watanabe (Neurocomputing, 2015)

Achievability of asymptotic minimax regret by horizon-dependent and horizon-independent strategies. - Kazuho Watanabe; Teemu Roos (J. Mach. Learn. Res., 2015)

Entropic risk minimization for nonparametric estimation of mixing distributions. - Kazuho Watanabe; Shiro Ikeda (Mach. Learn., 2015)

Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data. - Takuya Konishi; Takatomi Kubo; Kazuho Watanabe; Kazushi Ikeda (IEEE Trans. Neural Networks Learn. Syst., 2015)

Variational Inference With ARD Prior for NIRS Diffuse Optical Tomography. - Atsushi Miyamoto; Kazuho Watanabe; Kazushi Ikeda; Masa-aki Sato (IEEE Trans. Neural Networks Learn. Syst., 2015)

Constant-width rate-distortion bounds for power distortion measures. - Kazuho Watanabe (ITW, 2016)

Rate-Distortion Bounds for ε-Insensitive Distortion Measures. - Kazuho Watanabe (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016)

Rate-Distortion Functions for Gamma-Type Sources Under Absolute-Log Distortion Measure. - Kazuho Watanabe; Shiro Ikeda (IEEE Trans. Inf. Theory, 2016)

Making many-to-many parallel coordinate plots scalable by asymmetric biclustering. - Hsiang-Yun Wu; Yusuke Niibe; Kazuho Watanabe; Shigeo Takahashi; Makoto Uemura; Issei Fujishiro (PacificVis, 2017)

Rate-distortion tradeoffs under Kernel-based distortion measures. - Kazuho Watanabe (ISIT, 2017)

Projection to Mixture Families and Rate-Distortion Bounds with Power Distortion Measures. - Kazuho Watanabe (Entropy, 2017)

Rate-Distortion Bounds for Kernel-Based Distortion Measures. - Kazuho Watanabe (Entropy, 2017)

Automatic DNN Node Pruning Using Mixture Distribution-based Group Regularization. - Tsukasa Yoshida; Takafumi Moriya; Kazuho Watanabe; Yusuke Shinohara; Yoshikazu Yamaguchi; Yushi Aono (INTERSPEECH, 2018)

Sparse Regression Code with Sparse Dictionary for Absolute Error Criterion. - Ryota Konabe; Kazuho Watanabe (ISIT, 2018)

Generalized Dirichlet-Process-Means for Robust and Maximum Distortion Criteria. - Masahiro Kobayashi; Kazuho Watanabe (ISITA, 2018)

Empirical Bayes Estimation for L1 Regularization: A Detailed Analysis in the One-Parameter Lasso Model. - Tsukasa Yoshida; Kazuho Watanabe (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018)

Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation. - Kenta Konagayoshi; Kazuho Watanabe (ACML, 2019)

Generalized Dirichlet-process-means for f-separable distortion measures. - Masahiro Kobayashi; Kazuho Watanabe (CoRR, 2019)

Multi-Decoder RNN Autoencoder Based on Variational Bayes Method. - Daisuke Kaji; Kazuho Watanabe; Masahiro Kobayashi (IJCNN, 2020)

Discrete Optimal Reconstruction Distributions for Itakura-Saito Distortion Measure. - Kazuho Watanabe (ISIT, 2020)

Unbiased Estimation Equation under f-Separable Bregman Distortion Measures. - Masahiro Kobayashi; Kazuho Watanabe (ITW, 2020)

Context-aware placement of items with gaze-based interaction. - Shigeo Takahashi; Akane Uchita; Kazuho Watanabe; Masatoshi Arikawa (VINCI, 2020)

Statistical Learning of the Insensitive Parameter in Support Vector Models. - Kazuho Watanabe (ISIT, 2021)

Unified Likelihood Ratio Estimation for High- to Zero-frequency N-grams. - Masato Kikuchi; Kento Kawakami; Kazuho Watanabe; Mitsuo Yoshida 001; Kyoji Umemura (CoRR, 2021)

Unified Likelihood Ratio Estimation for High- to Zero-Frequency N-Grams. - Masato Kikuchi; Kento Kawakami; Kazuho Watanabe; Mitsuo Yoshida 001; Kyoji Umemura (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021)

Generalized Dirichlet-process-means for f-separable distortion measures. - Masahiro Kobayashi; Kazuho Watanabe (Neurocomputing, 2021)

Approximate Empirical Bayes Estimation of the Regularization Parameter in ℓ1 Trend Filtering. - Akiharu Omae; Kazuho Watanabe (ISIT, 2022)

Gaze-driven placement of items for proactive visual exploration. - Shigeo Takahashi; Akane Uchita; Kazuho Watanabe; Masatoshi Arikawa (J. Vis., 2022)

Unbiased Estimating Equation on Inverse Divergence and its Conditions. - Masahiro Kobayashi; Kazuho Watanabe (ISIT, 2024)

Unbiased Estimating Equation and Latent Bias Under f-Separable Bregman Distortion Measures. - Masahiro Kobayashi; Kazuho Watanabe (IEEE Trans. Inf. Theory, 2024)

Empirical Bayes Estimation for Lasso-Type Regularizers: Analysis of Automatic Relevance Determination. - Tsukasa Yoshida; Kazuho Watanabe (CoRR, 2025)