Bayesian Optimization of Composite Functions

4 June 2019

Papers citing "Bayesian Optimization of Composite Functions"

41 / 41 papers shown

Title
Fast Bayesian Optimization of Function Networks with Partial Evaluations Poompol Buathong P. Frazier 25 0 0 13 Jun 2025
Multi-Objective Bayesian Optimization for Networked Black-Box Systems: A Path to Greener Profits and Smarter Designs Akshay Kudva Wei-Ting Tang J. Paulson 68 0 0 19 Feb 2025
Bayesian Optimization with Preference Exploration by Monotonic Neural Network Ensemble Hanyang Wang Juergen Branke Matthias Poloczek 228 0 0 30 Jan 2025
Gearing Gaussian process modeling and sequential design towards stochastic simulators M. Binois A. Fadikar Abby Stevens 155 0 0 10 Dec 2024
Knowledge-aware Evolutionary Graph Neural Architecture Search Chao Wang Jiaxuan Zhao Lingling Li Licheng Jiao Fang Liu Xu Liu Steve Yang 152 4 0 26 Nov 2024
Constrained composite Bayesian optimization for rational synthesis of polymeric particles Fanjin Wang Maryam Parhizkar Anthony Harker Mohan Edirisinghe 102 0 0 06 Nov 2024
Composite Bayesian Optimization In Function Spaces Using NEON -- Neural Epistemic Operator Networks Leonardo Ferreira Guilhoto P. Perdikaris BDL 88 2 0 03 Apr 2024
Causal Bayesian Optimization via Exogenous Distribution Learning Shaogang Ren Xiaoning Qian 99 1 0 03 Feb 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 64 12 0 19 Dec 2023
BOIS: Bayesian Optimization of Interconnected Systems Leonardo D. González Victor M. Zavala 55 4 0 19 Nov 2023
Joint Composite Latent Space Bayesian Optimization Natalie Maus Zhiyuan Jerry Lin Maximilian Balandat E. Bakshy BDL 99 2 0 03 Nov 2023
Bayesian Optimization of Function Networks with Partial Evaluations Poompol Buathong Jiayue Wan Raul Astudillo Sam Daulton Maximilian Balandat P. Frazier 67 3 0 03 Nov 2023
Pseudo-Bayesian Optimization Haoxian Chen Henry Lam 112 2 0 15 Oct 2023
Bayesian Optimization of Expensive Nested Grey-Box Functions Wenjie Xu Yuning Jiang B. Svetozarevic Colin N. Jones 50 1 0 08 Jun 2023
No-Regret Constrained Bayesian Optimization of Noisy and Expensive Hybrid Models using Differentiable Quantile Function Approximations Congwen Lu J. Paulson 67 8 0 05 May 2023
Bayesian Optimization for Function Compositions with Applications to Dynamic Pricing Kunal Jain J. PrabuchandranK. Tejas Bodas 75 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 77 1 0 14 Feb 2023
Robust Bayesian Target Value Optimization J. G. Hoffer Sascha Ranftl Bernhard C. Geiger 75 10 0 11 Jan 2023
Regret Bounds for Noise-Free Cascaded Kernelized Bandits Zihan Li Jonathan Scarlett 72 2 0 10 Nov 2022
Multi-Fidelity Cost-Aware Bayesian Optimization Zahra Zanjani Foumani Mehdi Shishehbor Amin Yousefpour Ramin Bostanabad 61 49 0 04 Nov 2022
Validation of Composite Systems by Discrepancy Propagation David Reeb Kanil Patel Karim Barsim Martin Schiegg S. Gerwinn 91 2 0 21 Oct 2022
A General Recipe for Likelihood-free Bayesian Optimization Jiaming Song Lantao Yu Willie Neiswanger Stefano Ermon 97 24 0 27 Jun 2022
Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes Zhiyuan Jerry Lin Raul Astudillo P. Frazier E. Bakshy 86 38 0 21 Mar 2022
Robust Multi-Objective Bayesian Optimization Under Input Noise Sam Daulton Sait Cakmak Maximilian Balandat Michael A. Osborne Enlu Zhou E. Bakshy AAML 116 38 0 15 Feb 2022
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces Jaeyeon Ahn Taehyeon Kim Seyoung Yun 66 0 0 02 Feb 2022
Thinking inside the box: A tutorial on grey-box Bayesian optimization Raul Astudillo P. Frazier 102 36 0 02 Jan 2022
Bayesian Optimization of Function Networks Raul Astudillo P. Frazier 78 37 0 31 Dec 2021
Automated Deep Learning: Neural Architecture Search Is Not the End Xuanyi Dong D. Kedziora Katarzyna Musial Bogdan Gabrys 126 27 0 16 Dec 2021
Optimizing High-Dimensional Physics Simulations via Composite Bayesian Optimization Wesley J. Maddox Qing Feng Maximilian Balandat 72 7 0 29 Nov 2021
Counterfactual Explanations for Arbitrary Regression Models Thomas Spooner Danial Dervovic Jason Long Jon Shepard Jiahao Chen Daniele Magazzeni 68 26 0 29 Jun 2021
Bayesian Optimization with High-Dimensional Outputs Wesley J. Maddox Maximilian Balandat A. Wilson E. Bakshy UQCV 82 51 0 24 Jun 2021
Bayesian Optimization over Hybrid Spaces Aryan Deshwal Syrine Belakaria J. Doppa 72 34 0 08 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 387 17 0 23 Apr 2021
Are we Forgetting about Compositional Optimisers in Bayesian Optimisation? Antoine Grosnit Alexander I. Cowen-Rivers Rasul Tutunov Ryan-Rhys Griffiths Jun Wang Haitham Bou-Ammar 105 14 0 15 Dec 2020
No-regret Algorithms for Multi-task Bayesian Optimization Sayak Ray Chowdhury Aditya Gopalan 50 16 0 20 Aug 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization Sam Daulton Maximilian Balandat E. Bakshy 100 241 0 09 Jun 2020
Uncertainty Quantification for Bayesian Optimization Rui Tuo Wei Cao UQCV 67 5 0 04 Feb 2020
Multi-Attribute Bayesian Optimization With Interactive Preference Learning Raul Astudillo P. Frazier 82 33 0 14 Nov 2019
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 75 93 0 14 Oct 2019
Knowing The What But Not The Where in Bayesian Optimization Vu Nguyen Michael A. Osborne 104 38 0 07 May 2019
Constrained Bayesian Optimization for Automatic Chemical Design Ryan-Rhys Griffiths José Miguel Hernández-Lobato BDL 180 76 0 16 Sep 2017