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Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration
March 8, 2024, 5:41 a.m. | Julian Rodemann, Federico Croppi, Philipp Arens, Yusuf Sale, Julia Herbinger, Bernd Bischl, Eyke H\"ullermeier, Thomas Augustin, Conor J. Walsh, Giuse
cs.LG updates on arXiv.org arxiv.org
Abstract: Bayesian optimization (BO) with Gaussian processes (GP) has become an indispensable algorithm for black box optimization problems. Not without a dash of irony, BO is often considered a black box itself, lacking ways to provide reasons as to why certain parameters are proposed to be evaluated. This is particularly relevant in human-in-the-loop applications of BO, such as in robotics. We address this issue by proposing ShapleyBO, a framework for interpreting BO's proposals by game-theoretic Shapley …
abstract ai collaboration algorithm arxiv bayesian become black box box collaboration cs.ai cs.hc cs.lg cs.ro dash gaussian processes human irony optimization parameters processes stat.ml type values
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