Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes

2 March 2022

Papers citing "Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes"

9 / 9 papers shown

Title
Collaborative Bayesian Optimization via Wasserstein Barycenters Donglin Zhan Huan Zhang Rhonda Righter Zeyu Zheng James Anderson 34 0 0 15 Apr 2025
Gradient-based Sample Selection for Faster Bayesian Optimization Qiyu Wei Haowei Wang Zirui Cao Songhao Wang Richard Allmendinger Mauricio A Álvarez 29 0 0 10 Apr 2025
Scalable Bayesian Optimization via Focalized Sparse Gaussian Processes Yunyue Wei Vincent Zhuang Saraswati Soedarmadji Yanan Sui 147 0 0 31 Dec 2024
GPU-Accelerated Vecchia Approximations of Gaussian Processes for Geospatial Data using Batched Matrix Computations Qilong Pan Sameh Abdulah M. Genton David E. Keyes Hatem Ltaief Ying Sun 19 2 0 12 Mar 2024
Asymptotic properties of Vecchia approximation for Gaussian processes Myeongjong Kang Florian Schafer J. Guinness Matthias Katzfuss 27 5 0 29 Jan 2024
Linear-Cost Vecchia Approximation of Multivariate Normal Probabilities Jian Cao Matthias Katzfuss 22 1 0 15 Nov 2023
Scalable Model-Based Gaussian Process Clustering Anirban Chakraborty Abhisek Chakraborty 17 0 0 14 Sep 2023
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks Felix Jimenez Matthias Katzfuss BDL UQCV 64 1 0 26 May 2023
Optimistic Optimization of Gaussian Process Samples Julia Grosse Cheng Zhang Philipp Hennig GP 16 0 0 02 Sep 2022