BO-Muse: A human expert and AI teaming framework for accelerated experimental design

3 March 2023

Papers citing "BO-Muse: A human expert and AI teaming framework for accelerated experimental design"

7 / 7 papers shown

Title
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit Junyu Cao Ruijiang Gao Esmaeil Keyvanshokooh 40 1 0 18 Oct 2024
Principled Bayesian Optimisation in Collaboration with Human Experts Wenjie Xu Masaki Adachi Colin N. Jones Michael A. Osborne 39 2 0 14 Oct 2024
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration Julian Rodemann Federico Croppi Philipp Arens Yusuf Sale J. Herbinger B. Bischl Eyke Hüllermeier Thomas Augustin Conor J. Walsh Giuseppe Casalicchio 46 7 0 07 Mar 2024
Expert-guided Bayesian Optimisation for Human-in-the-loop Experimental Design of Known Systems Tom Savage Ehecatl Antonio del Rio Chanona 35 2 0 05 Dec 2023
Looping in the Human Collaborative and Explainable Bayesian Optimization Masaki Adachi Brady Planden David A. Howey Michael A. Osborne Sebastian Orbell Natalia Ares Krikamol Maundet Siu Lun Chau 28 14 0 26 Oct 2023
Misspecified Gaussian Process Bandit Optimization Ilija Bogunovic Andreas Krause 55 42 0 09 Nov 2021
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 403 0 06 Mar 2017