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Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee
When the function is black-box and expensive to evaluate, the level sets need to be found in a minimum set of function evaluations.
PINN-BO: A Black-box Optimization Algorithm using Physics-Informed Neural Networks
Black-box optimization is a powerful approach for discovering global optima in noisy and expensive black-box functions, a problem widely encountered in real-world scenarios.
Neural-BO: A Black-box Optimization Algorithm using Deep Neural Networks
Bayesian Optimization (BO) is an effective approach for global optimization of black-box functions when function evaluations are expensive.
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