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"

24 / 24 papers shown

Title
Gradient-based Sample Selection for Faster Bayesian Optimization Qiyu Wei Haowei Wang Zirui Cao Songhao Wang Richard Allmendinger Mauricio A Álvarez 29 0 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 87 1 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 51 1 0 23 Dec 2024
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation Diantong Li Fengxue Zhang Chong Liu Yuxin Chen 146 0 0 06 Nov 2024
AExGym: Benchmarks and Environments for Adaptive Experimentation Jimmy Wang Ethan Che Daniel R. Jiang Hongseok Namkoong 37 0 0 08 Aug 2024
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization Deokjae Lee Hyun Oh Song Kyunghyun Cho OffRL 45 0 0 21 Jun 2024
Embarrassingly Parallel GFlowNets Tiago da Silva Luiz Max Carvalho Amauri Souza Samuel Kaski Diego Mesquita 42 1 0 05 Jun 2024
Trajectory-Based Multi-Objective Hyperparameter Optimization for Model Retraining Wenyu Wang Zheyi Fan Szu Hui Ng 33 0 0 24 May 2024
Scalarisation-based risk concepts for robust multi-objective optimisation Ben Tu N. Kantas Robert M. Lee B. Shafei 30 1 0 16 May 2024
Personalized LLM Response Generation with Parameterized Memory Injection Kai Zhang Lizhi Qing Yangyang Kang 36 11 0 04 Apr 2024
Multi-objective optimisation via the R2 utilities Ben Tu N. Kantas Robert M. Lee B. Shafei 140 3 0 19 May 2023
Rotation Invariant Quantization for Model Compression Dor-Joseph Kampeas Yury Nahshan Hanoch Kremer Gil Lederman Shira Zaloshinski Zheng Li E. Haleva MQ 23 0 0 03 Mar 2023
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation -- Extended Version David Campos Miao Zhang B. Yang Tung Kieu Chenjuan Guo Christian S. Jensen AI4TS 45 47 0 24 Feb 2023
The Impact of Expertise in the Loop for Exploring Machine Rationality Changkun Ou Sven Mayer A. Butz 23 5 0 11 Feb 2023
AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning Han Zhou Xingchen Wan Ivan Vulić Anna Korhonen 21 45 0 28 Jan 2023
Cell-Free Data Power Control Via Scalable Multi-Objective Bayesian Optimisation Sergey S. Tambovskiy Gábor Fodor H. Tullberg 20 3 0 20 Dec 2022
Pareto Set Learning for Expensive Multi-Objective Optimization Xi Lin Zhiyuan Yang Xiao-Yan Zhang Qingfu Zhang 39 54 0 16 Oct 2022
Joint Entropy Search for Multi-objective Bayesian Optimization Ben Tu Axel Gandy N. Kantas B. Shafei 24 38 0 06 Oct 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview Florian Karl Tobias Pielok Julia Moosbauer Florian Pfisterer Stefan Coors ... Jakob Richter Michel Lang Eduardo C. Garrido-Merchán Juergen Branke B. Bischl AI4CE 26 56 0 15 Jun 2022
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization Hao Wang Kaifeng Yang M. Affenzeller 13 2 0 11 May 2022
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders Samuel Stanton Wesley J. Maddox Nate Gruver Phillip M. Maffettone E. Delaney Peyton Greenside A. Wilson BDL 38 89 0 23 Mar 2022
Sparse Bayesian Optimization Sulin Liu Qing Feng David Eriksson Benjamin Letham E. Bakshy 30 7 0 03 Mar 2022
A portfolio approach to massively parallel Bayesian optimization M. Binois Nicholson T. Collier J. Ozik 24 9 0 18 Oct 2021
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces Sam Daulton David Eriksson Maximilian Balandat E. Bakshy 22 105 0 22 Sep 2021