2 papers
math.ST2020
Uncertainty Quantification for Sparse Deep Learning
Yuexi Wang, Veronika Ročková
Deep learning methods continue to have a decided impact on machine learning, both in theory and in practice. Statistical theoretical developments have been mostly concerned with ap…
stat.ME2018
Variable Selection with ABC Bayesian Forests
Yi Liu, Veronika Ročková, Yuexi Wang
Few problems in statistics are as perplexing as variable selection in the presence of very many redundant covariates. The variable selection problem is most familiar in parametric…