文部科学省 科学技術人材育成費補助事業「テニュアトラック普及・定着」事業

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国立大学法人 豊橋技術科学大学 テニュアトラックプログラム

テニュアトラック教員紹介 / Tenure Track Faculty Members

HOME > テニュアトラック教員紹介 > Kazuho WATANABE, Ph.D., Tenure Track Lecturer

Kazuho WATANABE, Ph.D., Tenure Track Lecturer

Research Area

Statistical Learning Theory / Machine Learning

Key Words

Bayesian Inference, Learning Algorithm, Rate-Distortion Theory, Data Visualization

Outreach

Paper(s)

International Conference

  • Kazuho Watanabe, Hsiang-Yun Wu, Yusuke Niibe, Shigeo Takahashi, and Issei Fujishiro,
    "Biclustering Multivariate Data for Correlated Subspace Mining,"
    Proceedings of the 8th IEEE Pacific Visualization Symposium (PacificVis2015), pp.287-294, April 14-17, Hangzhou, China, 2015.
  • Shinichi Nakajima, Issei Sato, Masashi Sugiyama, Kazuho Watanabe, and Hiroko Kobayashi,
    "Analysis of variational Bayesian latent Dirichlet allocation: weaker sparsity than MAP,"
    Advances in Neural Information Processing Systems (NIPS2014), pp.1224-1232, December 8-13, Montreal, Canada, 2014.
  • Koto Nohno, Hsiang-Yun Wu, Kazuho Watanabe, Shigeo Takahashi, and Issei Fujishiro,
    "Spectral-based contractible parallel coordinates,"
    Proceedings of the 18th International Conference on Information Visualisation (iV2014), pp.7-12, Paris, France, July 15-18, 2014.
  • Andrew Barron, Teemu Roos, and Kazuho Watanabe,
    "Bayesian Properties of Normalized Maximum Likelihood and its Fast Computation,"
    Proceedings of the IEEE International Symposium on Information Theory (ISIT), pp.1667-1671, Honolulu, Hawaii, USA, June 29-July 7, 2014.

Invited Talk

  • Kazuho Watanabe,
    "Rate-Distortion Analysis for Kernel-Based Distortion Measures,"
    to appear in Proceedings of 2015 Workshop on Information Theoretic Methods in Science and Engineering, Copenhagen, Denmark, June 24-26, 2015.
  • Kazuho Watanabe,
    "Rate-Distortion Analysis for an Epsilon-Insensitive Loss Function,"
    Proceedings of 2014 Workshop on Information Theoretic Methods in Science and Engineering, pp.23-26, Honolulu, Hawaii, USA, July 5-7, 2014.

Awards

  • Encouragement Award (IEICE SITA Subsociety), 2013.
  • Best Paper Method Award (German Classification Society), 2010.
  • Best Paper Award (Japanese Neural Network Society), 2008.

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