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Found 3 papers, 3 papers with code
High-dimensional Bayesian optimization using low-dimensional feature spaces
Our approach allows for optimization of BO's acquisition function in the lower-dimensional subspace, which significantly simplifies the optimization problem.
The reparameterization trick for acquisition functions
Bayesian optimization is a sample-efficient approach to solving global optimization problems.
Safe Learning of Regions of Attraction for Uncertain, Nonlinear Systems with Gaussian Processes
The ROA is typically estimated based on a model of the system.
Systems and Control
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