School personnel information


Terada Yoshikazu

Organization 【 display / non-display

  • 2016.04.01 - 2019.09.30, Department of Systems Innovation, Graduate School of Engineering Science, Assistant Professor

  • 2019.10.01 - , Department of Systems Innovation, Graduate School of Engineering Science, Associate Professor


Academic Papers 【 display / non-display

  • Kernel Normalized Cut: a Theoretical Revisit, Yoshikazu Terada, Michio Yamamoto, Proceedings of the 36th International Conference on Machine Learning,97 6206-6214, 2019.07, International Conference(Proceedings)

  • Local ordinal embedding, Yoshikazu Terada, Ulrike von Luxburg, Proceedings of the 31 st International Conference on Machine Learning, 847-855, 2014.06, International Conference(Proceedings)

  • Strong consistency of reduced k-means clustering, Yoshikazu Terada, Scandinavian Journal of Statistics,41, 2014.01, Papers

  • Fast generalization error bound of deep learning without scale invariance of activation functions, Yoshikazu Terada, Ryoma Hirose, Neural Networks,129 344-358, 2020.09, Papers

  • More Powerful Selective Kernel Tests for Feature Selection, Jen Ning Lim, Makoto Yamada, Wittawat Jitkrittum, Yoshikazu Terada, Shigeyuki Matsui, Hidetoshi Shimodaira , Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics,108, 2020.04, International Conference(Proceedings)

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