research
∙
08/25/2022
Adversarial Bayesian Simulation
In the absence of explicit or tractable likelihoods, Bayesians often res...
share
research
∙
11/22/2021
Approximate Bayesian Computation via Classification
Approximate Bayesian Computation (ABC) enables statistical inference in ...
research
∙
02/26/2020
Uncertainty Quantification for Sparse Deep Learning
Deep learning methods continue to have a decided impact on machine learn...
research
∙
03/22/2019
Scalable Data Augmentation for Deep Learning
Scalable Data Augmentation (SDA) provides a framework for training deep ...
research
∙
06/06/2018
ABC Variable Selection with Bayesian Forests
Few problems in statistics are as perplexing as variable selection in th...
research
∙
09/01/2017
