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Einblick - Bayesian Optimization
Targeted Variance Reduction: Robust Bayesian Optimization of Black-Box Simulators with Noise Parameters
The author proposes a new Bayesian optimization method, Targeted Variance Reduction (TVR), to address robust black-box optimization problems by leveraging joint acquisition functions over control and noise parameters.
Targeted Variance Reduction: Robust Bayesian Optimization of Black-Box Simulators with Noise Parameters
Proposing a new method, Targeted Variance Reduction (TVR), for robust black-box optimization by leveraging joint acquisition over control and noise parameters.
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces
Bounce proposes a reliable algorithm for optimizing high-dimensional black-box functions in combinatorial and mixed spaces, outperforming state-of-the-art methods.
Bounce: Reliable High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces
Bounce proposes a reliable algorithm for optimizing high-dimensional black-box functions in combinatorial and mixed spaces, outperforming state-of-the-art methods.
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