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Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement

17 May 2021

Papers citing "Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement"

33 / 33 papers shown

Title
BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL Yu-Heng Hung Kai-Jie Lin Yu-Heng Lin Chien-Yi Wang Cheng Sun Ping-Chun Hsieh 64 1 0 28 May 2025
Gradient-based Sample Selection for Faster Bayesian Optimization Qiyu Wei Haowei Wang Zirui Cao Songhao Wang Richard Allmendinger Mauricio A Álvarez 73 1 0 10 Apr 2025
Faster, Cheaper, Better: Multi-Objective Hyperparameter Optimization for LLM and RAG Systems Matthew Barker Andrew Bell Evan Thomas James Carr Thomas Andrews Umang Bhatt 139 2 0 25 Feb 2025
Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks Minh-Duc Nguyen Phuong Mai Dinh Quang-Huy Nguyen L. P. Hoang Dung D. Le 118 2 0 23 Dec 2024
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation Diantong Li Fengxue Zhang Chong Liu Yuxin Chen 447 0 0 06 Nov 2024
Scalarisation-based risk concepts for robust multi-objective optimisation Ben Tu N. Kantas Robert M. Lee B. Shafei 84 1 0 16 May 2024
Personalized LLM Response Generation with Parameterized Memory Injection Kai Zhang Lizhi Qing Yangyang Kang 111 11 0 04 Apr 2024
Multi-objective optimisation via the R2 utilities Ben Tu N. Kantas Robert M. Lee B. Shafei 415 3 0 19 May 2023
Distilled Thompson Sampling: Practical and Efficient Thompson Sampling via Imitation Learning Hongseok Namkoong Sam Daulton E. Bakshy OffRL 34 7 0 29 Nov 2020
An Easy-to-use Real-world Multi-objective Optimization Problem Suite Ryoji Tanabe H. Ishibuchi 69 253 0 27 Sep 2020
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints Syrine Belakaria Aryan Deshwal J. Doppa 81 133 0 01 Sep 2020
Real-world Video Adaptation with Reinforcement Learning Hongzi Mao Shannon Chen Drew Dimmery Shaun Singh Drew Blaisdell Yuandong Tian Mohammad Alizadeh E. Bakshy OffRL 124 77 0 28 Aug 2020
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization Geoff Pleiss M. Jankowiak David Eriksson Anil Damle Jacob R. Gardner 67 43 0 19 Jun 2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization Sam Daulton Maximilian Balandat E. Bakshy 72 241 0 09 Jun 2020
Random Hypervolume Scalarizations for Provable Multi-Objective Black Box Optimization Daniel Golovin Qiuyi Zhang 87 75 0 08 Jun 2020
Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints E.C. Garrido-Merchán Daniel Hernández-Lobato 68 16 0 01 Apr 2020
Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints Sam Daulton Shaun Singh Vashist Avadhanula Drew Dimmery E. Bakshy 57 13 0 02 Nov 2019
Multi-objective Bayesian Optimization using Pareto-frontier Entropy Shinya Suzuki Shion Takeno T. Tamura Kazuki Shitara Masayuki Karasuyama 60 75 0 01 Jun 2019
Data-efficient Learning of Morphology and Controller for a Microrobot Thomas I. Liao Grant Wang Brian Yang R. Lee K. Pister Sergey Levine Roberto Calandra 49 51 0 03 May 2019
Efficient Computation of Expected Hypervolume Improvement Using Box Decomposition Algorithms Kaifeng Yang M. Emmerich A. Deutz Thomas Bäck 57 81 0 26 Apr 2019
Uncrowded Hypervolume Improvement: COMO-CMA-ES and the Sofomore framework Cheikh Touré N. Hansen A. Auger D. Brockhoff 48 17 0 18 Apr 2019
Bayesian Optimization for Policy Search via Online-Offline Experimentation Benjamin Letham E. Bakshy OffRL 87 56 0 01 Apr 2019
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its parallelization Shion Takeno H. Fukuoka Yuhki Tsukada T. Koyama M. Shiga Ichiro Takeuchi Masayuki Karasuyama 79 40 0 24 Jan 2019
A Tutorial on Bayesian Optimization P. Frazier GP 113 1,797 0 08 Jul 2018
A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations Biswajit Paria Kirthevasan Kandasamy Barnabás Póczós 145 131 0 30 May 2018
Maximizing acquisition functions for Bayesian optimization James T. Wilson Frank Hutter M. Deisenroth 143 249 0 25 May 2018
Regularized Evolution for Image Classifier Architecture Search Esteban Real A. Aggarwal Yanping Huang Quoc V. Le 185 3,039 0 05 Feb 2018
Constrained Bayesian Optimization with Noisy Experiments Benjamin Letham Brian Karrer Guilherme Ottoni E. Bakshy 68 303 0 21 Jun 2017
Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints Daniel Hernández-Lobato Daniel Hernández-Lobato 77 112 0 05 Sep 2016
Parallel Bayesian Global Optimization of Expensive Functions Jialei Wang Scott C. Clark Eric Liu P. Frazier 66 161 0 16 Feb 2016
Predictive Entropy Search for Efficient Global Optimization of Black-box Functions José Miguel Hernández-Lobato Matthew W. Hoffman Zoubin Ghahramani 109 648 0 10 Jun 2014
Bayesian Optimization with Unknown Constraints M. Gelbart Jasper Snoek Ryan P. Adams 95 450 0 22 Mar 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 458 16,922 0 20 Dec 2013