Bayesian Optimization of Composite Functions

4 June 2019

Papers citing "Bayesian Optimization of Composite Functions"

18 / 18 papers shown

Title
Constrained composite Bayesian optimization for rational synthesis of polymeric particles Fanjin Wang Maryam Parhizkar Anthony Harker Mohan Edirisinghe 34 0 0 06 Nov 2024
Enhancing predictive capabilities in fusion burning plasmas through surrogate-based optimization in core transport solvers P. Rodriguez-Fernandez N. T. Howard A. Saltzman S. Kantamneni J. Candy C. Holland M. Balandat Sebastian Ament A. E. White 20 10 0 19 Dec 2023
Pseudo-Bayesian Optimization Haoxian Chen Henry Lam 37 2 0 15 Oct 2023
Bayesian Optimization for Function Compositions with Applications to Dynamic Pricing Kunal Jain J. PrabuchandranK. Tejas Bodas 35 2 0 21 Mar 2023
Scalable Bayesian optimization with high-dimensional outputs using randomized prior networks Mohamed Aziz Bhouri M. Joly Robert Yu S. Sarkar P. Perdikaris BDL UQCV AI4CE 26 1 0 14 Feb 2023
Robust Bayesian Target Value Optimization J. G. Hoffer Sascha Ranftl Bernhard C. Geiger 33 9 0 11 Jan 2023
A General Recipe for Likelihood-free Bayesian Optimization Jiaming Song Lantao Yu Willie Neiswanger Stefano Ermon 43 23 0 27 Jun 2022
Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes Zhiyuan Jerry Lin Raul Astudillo P. Frazier E. Bakshy 24 38 0 21 Mar 2022
Thinking inside the box: A tutorial on grey-box Bayesian optimization Raul Astudillo P. Frazier 35 35 0 02 Jan 2022
Bayesian Optimization of Function Networks Raul Astudillo P. Frazier 32 36 0 31 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 39 26 0 16 Dec 2021
Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization Wesley J. Maddox Qing Feng Maximilian Balandat 27 7 0 29 Nov 2021
Counterfactual Explanations for Arbitrary Regression Models Thomas Spooner Danial Dervovic Jason Long Jon Shepard Jiahao Chen Daniele Magazzeni 24 26 0 29 Jun 2021
Bayesian Optimization with High-Dimensional Outputs Wesley J. Maddox Maximilian Balandat A. Wilson E. Bakshy UQCV 24 50 0 24 Jun 2021
Deep Learning for Bayesian Optimization of Scientific Problems with High-Dimensional Structure Samuel Kim Peter Y. Lu Charlotte Loh Jamie Smith Jasper Snoek M. Soljavcić BDL AI4CE 180 17 0 23 Apr 2021
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization Sam Daulton Maximilian Balandat E. Bakshy 16 237 0 09 Jun 2020
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 32 93 0 14 Oct 2019
Constrained Bayesian Optimization for Automatic Chemical Design Ryan-Rhys Griffiths José Miguel Hernández-Lobato BDL 44 76 0 16 Sep 2017