Yamazaki, Keisuke

8 publications

ECML-PKDD 2020 Model Bridging: Connection Between Simulation Model and Neural Network Keiichi Kisamori, Keisuke Yamazaki, Yuto Komori, Hiroshi Tokieda

AISTATS 2020 Simulator Calibration Under Covariate Shift with Kernels Keiichi Kisamori, Motonobu Kanagawa, Keisuke Yamazaki

ICML 2018 Kernel Recursive ABC: Point Estimation with Intractable Likelihood Takafumi Kajihara, Motonobu Kanagawa, Keisuke Yamazaki, Kenji Fukumizu

MLJ 2016 Asymptotic Accuracy of Bayes Estimation for Latent Variables with Redundancy Keisuke Yamazaki

JMLR 2014 Asymptotic Accuracy of Distribution-Based Estimation of Latent Variables Keisuke Yamazaki

ICML 2007 Asymptotic Bayesian Generalization Error When Training and Test Distributions Are Different Keisuke Yamazaki, Motoaki Kawanabe, Sumio Watanabe, Masashi Sugiyama, Klaus-Robert Müller

ALT 2004 Newton Diagram and Stochastic Complexity in Mixture of Binomial Distributions Keisuke Yamazaki, Sumio Watanabe

UAI 2003 Stochastic Complexity of Bayesian Networks Keisuke Yamazaki, Sumio Watanabe