14 citations · 25 across the 5 of their papers we have counts for
5 papers
Bayesian Distance-to-Set Models: from Latent Variable to Latent Projection
Leo L Duan, Yuexi Wang, Jason Xu
Statistical models often assume that data are generated near a structured, smooth, or low-dimensional set. A common approach is to use Bayesian latent variable models, in which eac…
Likelihood-Free Inference via Structured Score Matching
Haoyu Jiang, Yuexi Wang, Yun Yang
In many statistical problems, the data distribution is specified through a generative process for which the likelihood function is analytically intractable, yet inference on the as…
Approximate Bayesian Computation via Classification
Yuexi Wang, Tetsuya Kaji, Veronika Ročková
Approximate Bayesian Computation (ABC) enables statistical inference in simulator-based models whose likelihoods are difficult to calculate but easy to simulate from. ABC construct…
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…
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…