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Parallel Bayesian Global Optimization of Expensive Functions

16 February 2016

Papers citing "Parallel Bayesian Global Optimization of Expensive Functions"

47 / 47 papers shown

Title
Nested Expectations with Kernel Quadrature Zonghao Chen Masha Naslidnyk F. Briol 67 2 0 25 Feb 2025
Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization Natalie Maus Kyurae Kim Yimeng Zeng Haydn Thomas Jones Fangping Wan Marcelo Der Torossian Torres Cesar de la Fuente-Nunez Jacob R. Gardner 140 0 0 31 Jan 2025
Unexpected Improvements to Expected Improvement for Bayesian Optimization Sebastian Ament Sam Daulton David Eriksson Maximilian Balandat E. Bakshy 92 82 0 08 Jan 2025
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding Taiwo A. Adebiyi Bach Do Ruda Zhang 223 2 0 29 Oct 2024
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization Deokjae Lee Hyun Oh Song Kyunghyun Cho OffRL 96 0 0 21 Jun 2024
Pseudo-Bayesian Optimization Haoxian Chen Henry Lam 112 2 0 15 Oct 2023
Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal Francesco Di Fiore Michela Nardelli L. Mainini 91 22 0 02 Mar 2023
Batch Bayesian Optimization via Particle Gradient Flows Enrico Crovini S. Cotter K. Zygalakis Andrew B. Duncan 67 3 0 10 Sep 2022
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach Syrine Belakaria J. Doppa Nicolò Fusi Rishit Sheth 106 7 0 25 Jun 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 86 233 0 07 Jun 2022
Surrogate modeling for Bayesian optimization beyond a single Gaussian process Qin Lu Konstantinos D. Polyzos Bingcong Li G. Giannakis GP 72 23 0 27 May 2022
Advanced Manufacturing Configuration by Sample-efficient Batch Bayesian Optimization Xavier Guidetti Alisa Rupenyan L. Fassl M. Nabavi John Lygeros 21 8 0 24 May 2022
A model aggregation approach for high-dimensional large-scale optimization Haowei Wang Ercong Zhang Szu Hui Ng Giulia Pedrielli 89 1 0 16 May 2022
Adjusted Expected Improvement for Cumulative Regret Minimization in Noisy Bayesian Optimization Shouri Hu Haowei Wang Zhongxiang Dai K. H. Low Szu Hui Ng 65 4 0 10 May 2022
Bayesian Calibration for Activity Based Models Laura Schultz Joshua A. Auld Vadim Sokolov 65 3 0 08 Mar 2022
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes Felix Jimenez Matthias Katzfuss 69 10 0 02 Mar 2022
Thinking inside the box: A tutorial on grey-box Bayesian optimization Raul Astudillo P. Frazier 102 36 0 02 Jan 2022
Two-step Lookahead Bayesian Optimization with Inequality Constraints Yunxiang Zhang Xinming Zhang P. Frazier 56 7 0 06 Dec 2021
Lookahead Acquisition Functions for Finite-Horizon Time-Dependent Bayesian Optimization and Application to Quantum Optimal Control Sudharshan Ashwin Renganathan Jeffrey Larson Stefan M. Wild 50 7 0 20 May 2021
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement Sam Daulton Maximilian Balandat E. Bakshy 80 156 0 17 May 2021
Fast Design Space Exploration of Nonlinear Systems: Part I S. Narain Emily Mak Dana Chee Brendan Englot K. Pochiraju N. Jha Karthik Narayan 74 5 0 05 Apr 2021
Plasma Spray Process Parameters Configuration using Sample-efficient Batch Bayesian Optimization Xavier Guidetti Alisa Rupenyan L. Fassl M. Nabavi John Lygeros 26 7 0 25 Mar 2021
Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel Changyong Oh Roberto Bondesan E. Gavves Max Welling 56 6 0 26 Feb 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
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees Shali Jiang Daniel R. Jiang Maximilian Balandat Brian Karrer Jacob R. Gardner Roman Garnett 82 44 0 29 Jun 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization Sam Daulton Maximilian Balandat E. Bakshy 100 241 0 09 Jun 2020
aphBO-2GP-3B: A budgeted asynchronous parallel multi-acquisition functions for constrained Bayesian optimization on high-performing computing architecture Anh Tran J. Furlan T. Wildey S. McCann K. Pagalthivarthi R. Visintainer 75 9 0 20 Mar 2020
Weakly-supervised Multi-output Regression via Correlated Gaussian Processes Seokhyun Chung Raed Al Kontar Zhenke Wu 37 5 0 19 Feb 2020
Black-Box Optimization with Local Generative Surrogates S. Shirobokov V. Belavin Michael Kagan Andrey Ustyuzhanin A. G. Baydin 40 3 0 11 Feb 2020
$ε$ -shotgun: $ε$ -greedy Batch Bayesian Optimisation George De Ath Richard Everson J. Fieldsend Alma A. M. Rahat 61 16 0 05 Feb 2020
Integrals over Gaussians under Linear Domain Constraints A. Gessner Oindrila Kanjilal Philipp Hennig 69 30 0 21 Oct 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
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 104 474 0 03 Oct 2019
BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design Shali Jiang Henry Chai Javier I. González Roman Garnett OffRL 103 51 0 10 Sep 2019
Bayesian Optimization of Composite Functions Raul Astudillo P. Frazier LLMAG 78 78 0 04 Jun 2019
Sampling Acquisition Functions for Batch Bayesian Optimization Alessandro De Palma Celestine Mendler-Dünner Thomas Parnell Andreea Anghel H. Pozidis 56 13 0 22 Mar 2019
Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning Jian Wu Saul Toscano-Palmerin P. Frazier A. Wilson 67 132 0 12 Mar 2019
Fast Efficient Hyperparameter Tuning for Policy Gradients Supratik Paul Vitaly Kurin Shimon Whiteson 72 32 0 18 Feb 2019
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation A. Alvi Binxin Ru Jan-Peter Calliess Stephen J. Roberts Michael A. Osborne 79 45 0 29 Jan 2019
Hyperparameter Learning via Distributional Transfer H. Law P. Zhao Lucian Chan Junzhou Huang Dino Sejdinovic 85 25 0 15 Oct 2018
Combining Bayesian Optimization and Lipschitz Optimization Mohamed Osama Ahmed Sharan Vaswani Mark Schmidt 61 22 0 10 Oct 2018
PARyOpt: A software for Parallel Asynchronous Remote Bayesian Optimization B. Pokuri Alec Lofquist C. Risko Baskar Ganapathysubramanian 33 10 0 12 Sep 2018
Weak in the NEES?: Auto-tuning Kalman Filters with Bayesian Optimization Zhaozhong Chen Christoffer Heckman S. Julier Nisar R. Ahmed 45 61 0 23 Jul 2018
A Tutorial on Bayesian Optimization P. Frazier GP 149 1,803 0 08 Jul 2018
Efficient and Scalable Batch Bayesian Optimization Using K-Means Matthew J. Groves Edward O. Pyzer-Knapp 55 16 0 04 Jun 2018
Maximizing acquisition functions for Bayesian optimization James T. Wilson Frank Hutter M. Deisenroth 155 250 0 25 May 2018
Constrained Bayesian Optimization with Noisy Experiments Benjamin Letham Brian Karrer Guilherme Ottoni E. Bakshy 81 304 0 21 Jun 2017