Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization

29 November 2021

Papers citing "Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization"

10 / 10 papers shown

Title
When are Iterative Gaussian Processes Reliably Accurate? Wesley J. Maddox Sanyam Kapoor A. Wilson 51 10 0 31 Dec 2021
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces Sam Daulton David Eriksson Maximilian Balandat E. Bakshy 61 109 0 22 Sep 2021
Bayesian Optimization with High-Dimensional Outputs Wesley J. Maddox Maximilian Balandat A. Wilson E. Bakshy UQCV 45 51 0 24 Jun 2021
Scalable Constrained Bayesian Optimization David Eriksson Matthias Poloczek 61 99 0 20 Feb 2020
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 86 464 0 03 Oct 2019
Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables Yichi Zhang D. Apley Wei Chen AI4CE 62 215 0 03 Oct 2019
Bayesian Optimization of Composite Functions Raul Astudillo P. Frazier LLMAG 48 77 0 04 Jun 2019
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration Jacob R. Gardner Geoff Pleiss D. Bindel Kilian Q. Weinberger A. Wilson GP 136 1,098 0 28 Sep 2018
Mixed Precision Training Paulius Micikevicius Sharan Narang Jonah Alben G. Diamos Erich Elsen ... Boris Ginsburg Michael Houston Oleksii Kuchaiev Ganesh Venkatesh Hao Wu 157 1,795 0 10 Oct 2017
Bayesian optimization for materials design P. Frazier Jialei Wang AI4CE 53 226 0 03 Jun 2015