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stat.ML2017★ 18 cited
Decentralized High-Dimensional Bayesian Optimization with Factor Graphs
Trong Nghia Hoang, Quang Minh Hoang, Ruofei Ouyang +1
This paper presents a novel decentralized high-dimensional Bayesian optimization (DEC-HBO) algorithm that, in contrast to existing HBO algorithms, can exploit the interdependent ef…
stat.ML2016★ 1 cited
A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression
Quang Minh Hoang, Trong Nghia Hoang, Kian Hsiang Low
While much research effort has been dedicated to scaling up sparse Gaussian process (GP) models based on inducing variables for big data, little attention is afforded to the other…