Abstract: Bayesian optimization (BO) is a widely used method for expensive black-box optimization. The BO algorithm can effectively solve low-dimensional problems, but its performance of BO decreases ...
Abstract: We consider the problem of sparse variable selection on high dimension heterogeneous data sets, which has been taking on renewed interest recently due to the growth of biological and medical ...