〇Atsuyoshi Muta¹, Shota Nishioka¹, Yasuyuki Mitsui¹, Kazuhiro Koike¹, Kota Fukamachi², Kiri Miura², Naoki Kobayashi², Kenji Tanaka² (1. ASKUL Corporation, 2. Univ. of Tokyo)

Session information

[2D6-GS-2] Machine learning: Bayesian estimation

[2D6-GS-2-01] Learning Bayesian network classifiers using Integer Programing

[2D6-GS-2-02] Learning large Bayesian networks having more than ten thousand variables

[2D6-GS-2-03] Variational Bayesian Logistic Factorization Machines

[2D6-GS-2-04] Risk-averse Heteroscedastic Bayesian Optimization Using Monte Carlo Acquisition Functions

[2D6-GS-2-05] Advances in Logistics Cost Reduction: Applying Bayesian Optimization to Cardboard Box Sizing

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