Kazuho Watanabe

According to our database, Kazuho Watanabe authored at least 56 papers between 2004 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Gaze-driven placement of items for proactive visual exploration.

Shigeo Takahashi, Akane Uchita, Kazuho Watanabe, Masatoshi Arikawa

J. Vis., 2022

Approximate Empirical Bayes Estimation of the Regularization Parameter in ℓ1 Trend Filtering.

Akiharu Omae, Kazuho Watanabe

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

Generalized Dirichlet-process-means for <i>f</i>-separable distortion measures.

Masahiro Kobayashi, Kazuho Watanabe

Neurocomputing, 2021

Unified Likelihood Ratio Estimation for High- to Zero-Frequency <i>N</i>-Grams.

Masato Kikuchi, Kento Kawakami, Kazuho Watanabe, Mitsuo Yoshida, Kyoji Umemura

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021

Unified Likelihood Ratio Estimation for High- to Zero-frequency N-grams.

Masato Kikuchi, Kento Kawakami, Kazuho Watanabe, Mitsuo Yoshida, Kyoji Umemura

CoRR, 2021

Statistical Learning of the Insensitive Parameter in Support Vector Models.

Kazuho Watanabe

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Context-aware placement of items with gaze-based interaction.

Shigeo Takahashi, Akane Uchita, Kazuho Watanabe, Masatoshi Arikawa

Proceedings of the VINCI 2020: The 13th International Symposium on Visual Information Communication and Interaction, 2020

Unbiased Estimation Equation under f-Separable Bregman Distortion Measures.

Masahiro Kobayashi, Kazuho Watanabe

Proceedings of the IEEE Information Theory Workshop, 2020

Discrete Optimal Reconstruction Distributions for Itakura-Saito Distortion Measure.

Kazuho Watanabe

Proceedings of the IEEE International Symposium on Information Theory, 2020

Multi-Decoder RNN Autoencoder Based on Variational Bayes Method.

Daisuke Kaji, Kazuho Watanabe, Masahiro Kobayashi

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Generalized Dirichlet-process-means for f-separable distortion measures.

Masahiro Kobayashi, Kazuho Watanabe

CoRR, 2019

Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation.

Kenta Konagayoshi, Kazuho Watanabe

Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

Empirical Bayes Estimation for <i>L</i>₁ Regularization: A Detailed Analysis in the One-Parameter Lasso Model.

Tsukasa Yoshida, Kazuho Watanabe

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018

Generalized Dirichlet-Process-Means for Robust and Maximum Distortion Criteria.

Masahiro Kobayashi, Kazuho Watanabe

Proceedings of the International Symposium on Information Theory and Its Applications, 2018

Sparse Regression Code with Sparse Dictionary for Absolute Error Criterion.

Ryota Konabe, Kazuho Watanabe

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Automatic DNN Node Pruning Using Mixture Distribution-based Group Regularization.

Tsukasa Yoshida, Takafumi Moriya, Kazuho Watanabe, Yusuke Shinohara, Yoshikazu Yamaguchi, Yushi Aono

Proceedings of the Interspeech 2018, 2018

2017

Rate-Distortion Bounds for Kernel-Based Distortion Measures.

Kazuho Watanabe

Entropy, 2017

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

Kazuho Watanabe

Entropy, 2017

Rate-distortion tradeoffs under Kernel-based distortion measures.

Kazuho Watanabe

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Making many-to-many parallel coordinate plots scalable by asymmetric biclustering.

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

Proceedings of the 2017 IEEE Pacific Visualization Symposium, 2017

2016

Rate-Distortion Functions for Gamma-Type Sources Under Absolute-Log Distortion Measure.

Kazuho Watanabe, Shiro Ikeda

IEEE Trans. Inf. Theory, 2016

Rate-Distortion Bounds for <i>ε</i>-Insensitive Distortion Measures.

Kazuho Watanabe

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016

Constant-width rate-distortion bounds for power distortion measures.

Kazuho Watanabe

Proceedings of the 2016 IEEE Information Theory Workshop, 2016

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

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

Entropic risk minimization for nonparametric estimation of mixing distributions.

Kazuho Watanabe, Shiro Ikeda

Mach. Learn., 2015

Achievability of asymptotic minimax regret by horizon-dependent and horizon-independent strategies.

Kazuho Watanabe, Teemu Roos

J. Mach. Learn. Res., 2015

Vector quantization based on ε-insensitive mixture models.

Kazuho Watanabe

Neurocomputing, 2015

Biclustering multivariate data for correlated subspace mining.

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

Proceedings of the 2015 IEEE Pacific Visualization Symposium, 2015

2014

Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP.

Shinichi Nakajima, Issei Sato, Masashi Sugiyama, Kazuho Watanabe, Hiroko Kobayashi

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Spectral-Based Contractible Parallel Coordinates.

Koto Nohno, Hsiang-Yun Wu, Kazuho Watanabe, Shigeo Takahashi, Issei Fujishiro

Proceedings of the 18th International Conference on Information Visualisation, 2014

Bayesian properties of normalized maximum likelihood and its fast computation.

Andrew R. Barron, Teemu Roos, Kazuho Watanabe

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

2013

Rate-Distortion Bounds for an Epsilon-Insensitive Distortion Measure

Kazuho Watanabe

CoRR, 2013

Rate-distortion bounds for an ε-insensitive distortion measure.

Kazuho Watanabe

Proceedings of the 2013 IEEE Information Theory Workshop, 2013

Rate-distortion function for gamma sources under absolute-log distortion measure.

Kazuho Watanabe, Shiro Ikeda

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Vector Quantization Using Mixture of Epsilon-Insensitive Components.

Kazuho Watanabe

Proceedings of the Neural Information Processing - 20th International Conference, 2013

Achievability of Asymptotic Minimax Regret in Online and Batch Prediction.

Kazuho Watanabe, Teemu Roos, Petri Myllymäki

Proceedings of the Asian Conference on Machine Learning, 2013

2012

An alternative view of variational Bayes and asymptotic approximations of free energy.

Kazuho Watanabe

Mach. Learn., 2012

Packet loss rate estimation with active and passive measurements.

Atsushi Miyamoto, Kazuho Watanabe, Kazushi Ikeda

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

2011

Divergence measures and a general framework for local variational approximation.

Kazuho Watanabe, Masato Okada, Kazushi Ikeda

Neural Networks, 2011

Approximate Bayesian Estimation of Varying Binomial Process.

Kazuho Watanabe, Masato Okada

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2011

Phase diagrams of a variational Bayesian approach with ARD prior in NIRS-DOT.

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

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Phase Transition of Variational Bayes Learning in Bernoulli Mixture.

Daisuke Kaji, Kazuho Watanabe, Sumio Watanabe

Aust. J. Intell. Inf. Process. Syst., 2010

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

Upper bound for variational free energy of Bayesian networks.

Kazuho Watanabe, Motoki Shiga, Sumio Watanabe

Mach. Learn., 2009

Transfer Matrix Method for Instantaneous Spike Rate Estimation.

Kazuho Watanabe, Hiroyuki Tanaka, Keiji Miura, Masato Okada

IEICE Trans. Inf. Syst., 2009

2008

Clustering on a Subspace of Exponential Family Using Variational Bayes Method.

Kazuho Watanabe, Shotaro Akaho, Masato Okada

Proceedings of the 2008 International Conference on Information Theory and Statistical Learning, 2008

Firing Rate Estimation Using an Approximate Bayesian Method.

Kazuho Watanabe, Masato Okada

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2007

Stochastic complexity for mixture of exponential families in generalized variational Bayes.

Kazuho Watanabe, Sumio Watanabe

Theor. Comput. Sci., 2007

Stochastic complexities of general mixture models in variational Bayesian learning.

Kazuho Watanabe, Sumio Watanabe

Neural Networks, 2007

2006

Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation.

Kazuho Watanabe, Sumio Watanabe

J. Mach. Learn. Res., 2006

Upper Bounds for Variational Stochastic Complexities of Bayesian Networks.

Kazuho Watanabe, Motoki Shiga, Sumio Watanabe

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Free Energy of Stochastic Context Free Grammar on Variational Bayes.

Tikara Hosino, Kazuho Watanabe, Sumio Watanabe

Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005

Variational Bayesian Stochastic Complexity of Mixture Models.

Kazuho Watanabe, Sumio Watanabe

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Stochastic Complexity for Mixture of Exponential Families in Variational Bayes.

Kazuho Watanabe, Sumio Watanabe

Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005

2004

Estimation of the Data Region Using Extreme-Value Distributions.

Kazuho Watanabe, Sumio Watanabe

Proceedings of the Algorithmic Learning Theory, 15th International Conference, 2004