Keisuke Yamazaki

52 papers A* 2A 2B 2C 4Misc 1Journal 24Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Asymptotic Accuracy Analysis of Fast Simulation-Calibration Model Bridge. ICONIP (1) Keisuke Yamazaki
2025	—	`conf`	Hankel Surrogate for Model-Bridge Simulation Calibration. MLSP Lincon S. Souza, Maha Mahyub, Bojan Batalo, Keisuke Yamazaki
2025	J	`jnl`	Model Selection Methods for Model-Bridge Simulation Calibration. IEEE Access Bojan Batalo, Lincon S. Souza, Keisuke Yamazaki
2025	—	`conf`	Rapid Parameter Calibration Method Using Model-Bridge for Microscopic Traffic Simulations. ITSC Shusuke Shigenaka, Ryo Nishida, Keisuke Yamazaki, Masaki Onishi
2023	Misc	`conf`	A Geometric Surrogate for Simulation Calibration. ICASSP Lincon S. Souza, Bojan Batalo, Keisuke Yamazaki
2022	B	`conf`	Individual-based epidemiological model of COVID19 using location data. IEEE Big Data Yoriyuki Yamagata, Shunki Takami, Keisuke Yamazaki, Tomoki Nakaya, Masaki Onishi
2022	C	`conf`	Validation of a Property Estimation Method Based on Sequential and Posteriori Estimation. IECON Tomoya Kitamura, Atsumi Saito, Keisuke Yamazaki, Yuki Saito, Hiroshi Asai, Kouhei Ohnishi
2022	C	`conf`	Visual-only Voice Activity Detection using Human Motion in Conference Video. ICPRAM Keisuke Yamazaki, Satoshi Tamura, Yuuto Gotoh, Masaki Nose
2021	—	`conf`	Conditional Drive Environment Translation using StarGAN with CBIN. AICCC Rina Komatsu, Keisuke Yamazaki
2021	J	`jnl`	Detecting aggressive agents in egress process by using conflict data in cellular automaton model. J. Intell. Transp. Syst. Daichi Yanagisawa, Keisuke Yamazaki
2020	—	`conf`	Model Bridging: Connection Between Simulation Model and Neural Network. ECML/PKDD (5) Keiichi Kisamori, Keisuke Yamazaki, Yuto Komori, Hiroshi Tokieda
2020	A	`conf`	Simulator Calibration under Covariate Shift with Kernels. AISTATS Keiichi Kisamori, Motonobu Kanagawa, Keisuke Yamazaki
2019	J	`jnl`	Hidden Node Detection between Observable Nodes Based on Bayesian Clustering. Entropy Keisuke Yamazaki, Yoichi Motomura
2019	J	`jnl`	Model Bridging: To Interpretable Simulation Model From Neural Network. CoRR Keiichi Kisamori, Keisuke Yamazaki
2018	J	`jnl`	Bayesian estimation of multidimensional latent variables and its asymptotic accuracy. Neural Networks Keisuke Yamazaki
2018	J	`jnl`	Intractable Likelihood Regression for Covariate Shift by Kernel Mean Embedding. CoRR Keiichi Kisamori, Keisuke Yamazaki
2018	A*	`conf`	Kernel Recursive ABC: Point Estimation with Intractable Likelihood. ICML Takafumi Kajihara, Motonobu Kanagawa, Keisuke Yamazaki, Kenji Fukumizu
2017	—	`conf`	A Risk Information Provision System on Bicycle Parking Lots. ICIOT Keisuke Yamazaki, Tsuyoshi Nakajima
2017	J	`jnl`	Effects of additional data on Bayesian clustering. Neural Networks Keisuke Yamazaki
2017	—	`conf`	Hidden Node Detection between Two Observable Nodes Based on Bayesian Clustering. AMBN Keisuke Yamazaki, Yoichi Motomura
2016	J	`jnl`	Asymptotic accuracy of Bayes estimation for latent variables with redundancy. Mach. Learn. Keisuke Yamazaki
2015	J	`jnl`	Accuracy analysis of semi-supervised classification when the class balance changes. Neurocomputing Keisuke Yamazaki
2015	J	`jnl`	Accuracy of latent-variable estimation in Bayesian semi-supervised learning. Neural Networks Keisuke Yamazaki
2015	J	`jnl`	Asymptotic accuracy of Bayesian estimation for a single latent variable. Neural Networks Keisuke Yamazaki
2015	J	`jnl`	On the Optimal Hyperparameter Behavior in Bayesian Clustering. J. Adv. Comput. Intell. Intell. Informatics Keisuke Yamazaki
2014	J	`jnl`	Asymptotic Accuracy of Bayesian Estimation for a Single Latent Variable. CoRR Keisuke Yamazaki
2014	J	`jnl`	Asymptotic Marginal Likelihood on Linear Dynamical Systems. IEICE Trans. Inf. Syst. Takuto Naito, Keisuke Yamazaki
2014	J	`jnl`	Asymptotic accuracy of distribution-based estimation of latent variables. J. Mach. Learn. Res. Keisuke Yamazaki
2014	J	`jnl`	On Bayesian Clustering with a Structured Gaussian Mixture. J. Adv. Comput. Intell. Intell. Informatics Keisuke Yamazaki
2014	—	`conf`	The optimal hyperparameter for Bayesian clustering and its application to the evaluation of clustering results. SCIS&ISIS Keisuke Yamazaki
2014	—	`conf`	Two statistical methods for grouping vehicles in traffic flow based on probabilistic cellular automata. SCIS&ISIS Fumito Nakamura, Keisuke Yamazaki
2013	—	`conf`	A Geometric Evaluation of Self-Organizing Map and Application to City Data Analysis. MIWAI Shigehiro Ohara, Keisuke Yamazaki, Sumio Watanabe
2013	J	`jnl`	Comparing two Bayes methods based on the free energy functions in Bernoulli mixtures. Neural Networks Keisuke Yamazaki, Daisuke Kaji
2012	C	`conf`	Accuracy of latent variable estimation with the maximum likelihood estimator for partially observed hidden data. ISITA Keisuke Yamazaki
2012	J	`jnl`	Asymptotic Accuracy of Distribution-Based Estimation for Latent Variables CoRR Keisuke Yamazaki
2012	—	`conf`	MCMC sampling on latent-variable space of mixture of probabilistic PCA. SCIS&ISIS Keisuke Yamazaki
2012	J	`jnl`	On equivalent parameter learning in simplified feature space based on Bayesian asymptotic analysis. Neural Networks Keisuke Yamazaki
2012	C	`conf`	Parameter estimation accuracy and active learning in the zero-range process. ISDA Koichi Kobayashi, Keisuke Yamazaki
2012	J	`jnl`	Stochastic complexity of Bayesian networks CoRR Keisuke Yamazaki, Sumio Watanabe
2011	—	`conf`	An asymptotic analysis of Bayesian state estimation in hidden Markov models. MLSP Keisuke Yamazaki
2010	J	`jnl`	Asymptotic analysis of Bayesian generalization error with Newton diagram. Neural Networks Keisuke Yamazaki, Miki Aoyagi, Sumio Watanabe
2009	—	`conf`	A Study on Bayesian Learning of One-Dimensional Linear Dynamical Systems. ICONIP (1) Takuto Naito, Keisuke Yamazaki
2008	—	`conf`	An Analysis of Generalization Error in Relevant Subtask Learning. ICONIP (1) Keisuke Yamazaki, Samuel Kaski
2007	A*	`conf`	Asymptotic Bayesian generalization error when training and test distributions are different. ICML Keisuke Yamazaki, Motoaki Kawanabe, Sumio Watanabe, Masashi Sugiyama, Klaus-Robert Müller
2007	—	`conf`	Experimental Bayesian Generalization Error of Non-regular Models under Covariate Shift. ICONIP (1) Keisuke Yamazaki, Sumio Watanabe
2006	—	`conf`	A Model Selection Method Based on Bound of Learning Coefficient. ICANN (2) Keisuke Yamazaki, Kenji Nagata, Sumio Watanabe, Klaus-Robert Müller
2005	J	`jnl`	Algebraic geometry and stochastic complexity of hidden Markov models. Neurocomputing Keisuke Yamazaki, Sumio Watanabe
2005	J	`jnl`	Singularities in complete bipartite graph-type Boltzmann machines and upper bounds of stochastic complexities. IEEE Trans. Neural Networks Keisuke Yamazaki, Sumio Watanabe
2004	B	`conf`	Newton Diagram and Stochastic Complexity in Mixture of Binomial Distributions. ALT Keisuke Yamazaki, Sumio Watanabe
2003	J	`jnl`	Singularities in mixture models and upper bounds of stochastic complexity. Neural Networks Keisuke Yamazaki, Sumio Watanabe
2003	A	`conf`	Stochastic Complexity of Bayesian Networks. UAI Keisuke Yamazaki, Sumio Watanabe
2003	—	`conf`	Stochastic complexities of hidden Markov models. NNSP Keisuke Yamazaki, Sumio Watanabe