Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression

5 December 2019

Papers citing "Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression"

9 / 9 papers shown

Title
Surrogate modeling for Bayesian optimization beyond a single Gaussian process Qin Lu Konstantinos D. Polyzos Bingcong Li G. Giannakis GP 72 23 0 27 May 2022
Marginalising over Stationary Kernels with Bayesian Quadrature Saad Hamid Sebastian Schulze Michael A. Osborne Stephen J. Roberts GP 55 4 0 14 Jun 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 360 1,947 0 12 Nov 2020
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
Time series forecasting with Gaussian Processes needs priors Giorgio Corani A. Benavoli Marco Zaffalon GP AI4TS 59 29 0 17 Sep 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