156 citations · 367 across the 18 of their papers we have counts for
19 papers
Causal Mediation Analysis with Multi-dimensional and Indirectly Observed Mediators
Ziyang Jiang, Yiling Liu, Michael H. Klein +5
Causal mediation analysis (CMA) is a powerful method to dissect the total effect of a treatment into direct and mediated effects within the potential outcome framework. This is imp…
Domain Adaptation via Rebalanced Sub-domain Alignment
Yiling Liu, Juncheng Dong, Ziyang Jiang +5
Unsupervised domain adaptation (UDA) is a technique used to transfer knowledge from a labeled source domain to a different but related unlabeled target domain. While many UDA metho…
Estimating Causal Effects using a Multi-task Deep Ensemble
Ziyang Jiang, Zhuoran Hou, Yiling Liu +3
A number of methods have been proposed for causal effect estimation, yet few have demonstrated efficacy in handling data with complex structures, such as images. To fill this gap,…
Multiple Domain Causal Networks
Tianhui Zhou, William E. Carson, Michael Hunter Klein +1
Observational studies are regarded as economic alternatives to randomized trials, often used in their stead to investigate and determine treatment efficacy. Due to lack of sample s…
AugmentedPCA: A Python Package of Supervised and Adversarial Linear Factor Models
William E. Carson, Austin Talbot, David Carlson
Deep autoencoders are often extended with a supervised or adversarial loss to learn latent representations with desirable properties, such as greater predictivity of labels and out…
Adversarial Factor Models for the Generation of Improved Autism Diagnostic Biomarkers
William E. Carson, Dmitry Isaev, Samatha Major +3
Discovering reliable measures that inform on autism spectrum disorder (ASD) diagnosis is critical for providing appropriate and timely treatment for this neurodevelopmental disorde…