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Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties
Arun Kumar A, Alistair Shilton, Sunil Gupta +3
Experimental (design) optimization is a key driver in designing and discovering new products and processes. Bayesian Optimization (BO) is an effective tool for optimizing expensive…
Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee
Giang Ngo, Dang Nguyen, Dat Phan-Trong +1
A common problem encountered in many real-world applications is level set estimation where the goal is to determine the region in the function domain where the function is above or…
Predictive Modeling through Hyper-Bayesian Optimization
Manisha Senadeera, Santu Rana, Sunil Gupta +1
Model selection is an integral problem of model based optimization techniques such as Bayesian optimization (BO). Current approaches often treat model selection as an estimation pr…