Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR

13 March 2024

Papers citing "Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR"

9 / 9 papers shown

Title
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization Benjamin Letham Roberto Calandra Akshara Rai E. Bakshy 93 114 0 31 Jan 2020
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 86 465 0 03 Oct 2019
Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces Johannes Kirschner Mojmír Mutný N. Hiller R. Ischebeck Andreas Krause 74 149 0 08 Feb 2019
When Gaussian Process Meets Big Data: A Review of Scalable GPs Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai GP 87 690 0 03 Jul 2018
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups Paul Rolland Jonathan Scarlett Ilija Bogunovic Volkan Cevher 63 115 0 20 Feb 2018
High Dimensional Bayesian Optimization Using Dropout Cheng Li Sunil R. Gupta Santu Rana Vu Nguyen Svetha Venkatesh A. Shilton 45 130 0 15 Feb 2018
Bayesian Optimization in a Billion Dimensions via Random Embeddings Ziyun Wang Frank Hutter M. Zoghi David Matheson Nando de Freitas 165 443 0 09 Jan 2013
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 356 7,942 0 13 Jun 2012
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design Niranjan Srinivas Andreas Krause Sham Kakade Matthias Seeger 149 1,622 0 21 Dec 2009