Stochastic Variational Inference for Bayesian Sparse Gaussian Process
Regression

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Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression

1 November 2017

Patrick Jaillet

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Papers citing "Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression"

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Title
Bayesian Optimization under Stochastic Delayed Feedback Arun Verma Zhongxiang Dai Bryan Kian Hsiang Low 80 12 0 19 Jun 2022
Variational Bayesian Unlearning Q. Nguyen Bryan Kian Hsiang Low Patrick Jaillet BDL MU 98 128 0 24 Oct 2020
Private Outsourced Bayesian Optimization D. Kharkovskii Zhongxiang Dai K. H. Low 78 21 0 24 Oct 2020
Federated Bayesian Optimization via Thompson Sampling Zhongxiang Dai K. H. Low Patrick Jaillet FedML 145 113 0 20 Oct 2020
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games Zhongxiang Dai Yizhou Chen K. H. Low Patrick Jaillet Teck-Hua Ho 61 26 0 30 Jun 2020
Nonmyopic Gaussian Process Optimization with Macro-Actions D. Kharkovskii Chun Kai Ling K. H. Low 89 17 0 22 Feb 2020
Approximate Inference for Fully Bayesian Gaussian Process Regression V. Lalchand C. Rasmussen GP 144 52 0 31 Dec 2019
Implicit Posterior Variational Inference for Deep Gaussian Processes Haibin Yu Yizhou Chen Zhongxiang Dai K. H. Low Patrick Jaillet 85 43 0 26 Oct 2019
When Gaussian Process Meets Big Data: A Review of Scalable GPs Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai GP 139 697 0 03 Jul 2018