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Found 2 papers, 2 papers with code
Adversarial Attacks on Gaussian Process Bandits
We focus primarily on targeted attacks on the popular GP-UCB algorithm and a related elimination-based algorithm, based on adversarially perturbing the function $f$ to produce another function $\tilde{f}$ whose optima are in some target region $\mathcal{R}_{\rm target}$.
High-Dimensional Bayesian Optimization via Tree-Structured Additive Models
In addition, we propose a novel zooming-based algorithm that permits generalized additive models to be employed more efficiently in the case of continuous domains.
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