2013 - 2016 Extension of nonparametric Bayesian methods to semiparametric models and its applications
2011 - 2015 Information-Theoretic View and Development of Kernel-Based Learning Methods
2013 - 2014 Empirical Bayes Approach to Packet Loss Rate Estimation
2008 - 2010 Asymptotic Analysis of Approximate Bayesian Inference Methods
2004 - 2006 非正則な確率推論モデルのための最適学習アルゴリズム
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Papers (67)：
Akiharu Omae, Kazuho Watanabe. Approximate Empirical Bayes Estimation of the Regularization Parameter in l1 Trend Filtering. IEEE International Symposium on Information Theory (ISIT). 2022. 462-467
Shigeo Takahashi, Akane Uchita, Kazuho Watanabe, Masatoshi Arikawa. Gaze-driven placement of items for proactive visual exploration. Journal of Visualization. 2021
Masato Kikuchi, Kento Kawakami, Kazuho Watanabe, Mitsuo Yoshida, Kyoji Umemura. Unified Likelihood Ratio Estimation for High- to Zero-frequency N-grams. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. 2021. 105. 8. 1059-1074
Kazuho Watanabe. Statistical Learning of the Insensitive Parameter in Support Vector Models. IEEE International Symposium on Information Theory (ISIT). 2021. 2501-2506
Variational Bayesian learning theory
Cambridge University Press 2019 ISBN:9781107076150
Lectures and oral presentations (47)：
Approximate Empirical Bayes Estimation of the Regularization Parameter in l1 Trend Filtering
(IEEE International Symposium on Information Theory (ISIT) 2022)
Hyper-Parameter Estimation of L1 Trend Filtering by Variational Approximation
(The 44th Symposium on Information Theory and its Applications (SITA2021) 2021)
Statistical Learning of the Insensitive Parameter in Support Vector Models
(2021 IEEE International Symposium on Information Theory 2021)
Unbiased Estimation Equation under f-Separable Bregman Distortion Measures
(IEEE Information Theory Workshop 2021)
Context-Aware Placement of Items with Gaze-Based Interaction
(13th International Symposium on Visual Information Communication and Interaction 2020)
- 2006 Tokyo Institute of Technology Interdisciplinary Science and Engineering Intelligent Systems Science
Professional career (1)：
博士(工学) (東京工業大学)
Work history (6)：
2019/04 - 現在 Toyohashi University of Technology Department of Computer Science and Engineering Associate Professor
2014/04 - 2019/03 Toyohashi University of Technology Department of Computer Science and Engineering Lecturer
2009/04 - 2014/03 Nara Institute of Science and Technology Graduate School of Information Science Assistant Professor
2007/04 - 2009/03 The University of Tokyo Graduate School of Frontier Sciences Postdoctoral Researcher / Assistant Professor
2006/10 - 2007/03 Tokyo Institute of Technology Interdisciplinary Graduate School of Science and Engineering Postdoctoral research fellow
2004/04 - 2006/09 Japan Society for the Promotion of Science Research Fellow
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Committee career (4)：
2012/10 - 現在 Zentralblatt MATH reviewer
2009/08 - 現在 AMS Mathematical Reviews reviewer
2019/10 - 2021/03 電子情報通信学会 和英論文誌A編集委員
2018/04 - 2021/03 日本応用数理学会 論文誌編集委員
Awards (3)：
2013/11 - IEICE SITA Subsociety SITA encouragement award Rate-distortion function for gamma sources under absolute-log distortion
2010/07 - The German Classification Society Best Paper Method Award Simultaneous Clustering and Dimensionality Reduction Using Variational Bayesian Mixture Model
2008/09 - Japanese Neural Network Society Best Paper Award Stochastic complexities of general mixture models in variational Bayesian learning
Association Membership(s) (3)：
IEEE
, JAPANESE NEURAL NETWORK SOCIETY
, THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS
