3 papers
stat.ML2022
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…
stat.ML2022
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…
cs.LG2021
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…