Batch Bayesian Optimization for Replicable Experimental Design

2 November 2023

Papers citing "Batch Bayesian Optimization for Replicable Experimental Design"

7 / 7 papers shown

Title
Quantum Lipschitz Bandits Bongsoo Yi Yue Kang Yao Li 39 1 0 03 Apr 2025
PIED: Physics-Informed Experimental Design for Inverse Problems Apivich Hemachandra Gregory Kang Ruey Lau Szu Hui Ng Bryan Kian Hsiang Low PINN 48 0 0 10 Mar 2025
Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models Mingyu Pu Songhao Wang Haowei Wang Szu Hui Ng 47 0 0 04 Mar 2025
A Quadrature Approach for General-Purpose Batch Bayesian Optimization via Probabilistic Lifting Masaki Adachi Satoshi Hayakawa Martin Jørgensen Saad Hamid Harald Oberhauser Michael A. Osborne GP 32 3 0 18 Apr 2024
Federated Bayesian Optimization via Thompson Sampling Zhongxiang Dai K. H. Low Patrick Jaillet FedML 89 109 0 20 Oct 2020
Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization Benjamin Letham Roberto Calandra Akshara Rai E. Bakshy 75 110 0 31 Jan 2020
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 403 0 06 Mar 2017