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2403.04629
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Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration
7 March 2024
Julian Rodemann
Federico Croppi
Philipp Arens
Yusuf Sale
J. Herbinger
B. Bischl
Eyke Hüllermeier
Thomas Augustin
Conor J. Walsh
Giuseppe Casalicchio
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Papers citing
"Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration"
8 / 8 papers shown
Title
Comparative Explanations: Explanation Guided Decision Making for Human-in-the-Loop Preference Selection
Tanmay Chakraborty
Christian Wirth
Christin Seifert
21
0
0
01 Apr 2025
Hyperparameter Importance Analysis for Multi-Objective AutoML
Daphne Theodorakopoulos
Frederic Stahl
Marius Lindauer
74
2
0
03 Jan 2025
Principled Bayesian Optimisation in Collaboration with Human Experts
Wenjie Xu
Masaki Adachi
Colin N. Jones
Michael A. Osborne
28
2
0
14 Oct 2024
Reciprocal Learning
Julian Rodemann
Christoph Jansen
G. Schollmeyer
FedML
29
0
0
12 Aug 2024
Semi-Supervised Learning guided by the Generalized Bayes Rule under Soft Revision
Stefan Dietrich
Julian Rodemann
Christoph Jansen
BDL
27
5
0
24 May 2024
Explainable Bayesian Optimization
Tanmay Chakraborty
Christin Seifert
Christian Wirth
43
5
0
24 Jan 2024
Efficient SAGE Estimation via Causal Structure Learning
C. Luther
Gunnar Konig
Moritz Grosse-Wentrup
16
3
0
06 Apr 2023
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming
Rohan R. Paleja
Muyleng Ghuy
Nadun R. Arachchige
Reed Jensen
Matthew C. Gombolay
68
62
0
08 Sep 2022
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