Watanabe Kazuho

ワタナベカズホ | Watanabe Kazuho

Affiliation and department：
Job title： Professor
Homepage URL (1)： http://www.lisl.cs.tut.ac.jp/wkazuho/index.html

Research field (1)： Intelligent informatics

Research keywords (1)：統計的学習理論

Research theme for competitive and other funds (10)：

2019 - 2024 Information-Theoretic View and Design of Generalized Bayesian Learning
2016 - 2019 Dynamic layout optimization for annotated information visualization
2015 - 2019 Design Principles of Learning and Inference Models with Optimal Latent Distributions
2013 - 2018 Consolidation of Visualization Platform toward Facilitating Sparse Modeling
2013 - 2016 Extension of nonparametric Bayesian methods to semiparametric models and its applications

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Papers (69)：

Masahiro Kobayashi, Kazuho Watanabe. Unbiased Estimating Equation and Latent Bias under f-Separable Bregman Distortion Measures. IEEE Transactions on Information Theory. 2024. 70. 8. 5763-5781
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
Masahiro Kobayashi, Kazuho Watanabe. Generalized Dirichlet-process-means for f-separable distortion measures. Neurocomputing. 2021. 458. 667-689
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

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MISC (34)：

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Books (1)：

Variational Bayesian learning theory
Cambridge University Press 2019 ISBN:9781107076150

Lectures and oral presentations (53)：

Rate-distortion theoretical views of Bayesian learning coefficients
(IMSI Workshop: Bayesian Statistics and Statistical Learning 2023)
逆数ダイバージェンスにおける推定方程式の不偏性とその多次元拡張
(第46回情報理論とその応用シンポジウム 2023)
γクロスエントロピーを用いたロバストVAEの提案
(情報論的学習理論ワークショップ 2023)
経験分布とリサンプリングを用いたfダイバージェンスに基づく推定
(情報論的学習理論ワークショップ 2023)
逆ガウスモデルにおける推定方程式の不偏性とその一般化
(電気・電子・情報関係学会東海支部連合大会 2023)

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Education (1)：

- 2006 Tokyo Institute of Technology Interdisciplinary Science and Engineering Intelligent Systems Science

Professional career (1)：

Work history (7)：

2024/09 - 現在 Toyohashi University of Technology Department of Computer Science and Engineering Professor
2019/04 - 2024/08 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

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Committee career (10)：

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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) (2)：

IEEE , THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS

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