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

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

3 March 2023
Sunil R. Gupta
A. Shilton
V. ArunKumarA.
S. Ryan
Majid Abdolshah
Hung Le
Santu Rana
Julian Berk
Mahad Rashid
Svetha Venkatesh
ArXivPDFHTML

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

5 / 5 papers shown
Title
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit
HR-Bandit: Human-AI Collaborated Linear Recourse Bandit
Junyu Cao
Ruijiang Gao
Esmaeil Keyvanshokooh
32
1
0
18 Oct 2024
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI
  Collaboration
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
Expert-guided Bayesian Optimisation for Human-in-the-loop Experimental Design of Known Systems
Tom Savage
Ehecatl Antonio del Rio Chanona
23
2
0
05 Dec 2023
Misspecified Gaussian Process Bandit Optimization
Misspecified Gaussian Process Bandit Optimization
Ilija Bogunovic
Andreas Krause
49
41
0
09 Nov 2021
Max-value Entropy Search for Efficient Bayesian Optimization
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang
Stefanie Jegelka
110
403
0
06 Mar 2017
1