Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration

no code implementations • 7 Mar 2024 • Julian Rodemann, Federico Croppi, Philipp Arens, Yusuf Sale, Julia Herbinger, Bernd Bischl, Eyke Hüllermeier, Thomas Augustin, Conor J. Walsh, Giuseppe Casalicchio

We address this issue by proposing ShapleyBO, a framework for interpreting BO's proposals by game-theoretic Shapley values. They quantify each parameter's contribution to BO's acquisition function.

Bayesian Optimization Gaussian Processes