17 citations · 24 across the 3 of their papers we have counts for
3 papers
stat.ML2017★ 17 cited
Implicit Causal Models for Genome-wide Association Studies
Dustin Tran, David M. Blei
Progress in probabilistic generative models has accelerated, developing richer models with neural architectures, implicit densities, and with scalable algorithms for their Bayesian…
stat.ME2016★ 6 cited
Model Criticism for Bayesian Causal Inference
Dustin Tran, Francisco J. R. Ruiz, Susan Athey +1
The goal of causal inference is to understand the outcome of alternative courses of action. However, all causal inference requires assumptions. Such assumptions can be more influen…
stat.ML2011★ 1 cited
A Tutorial on Bayesian Nonparametric Models
Samuel J. Gershman, David M. Blei
A key problem in statistical modeling is model selection, how to choose a model at an appropriate level of complexity. This problem appears in many settings, most prominently in ch…