7 citations · 10 across the 4 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
q-bio.QM2023★ 3 cited
Causal Discovery for fMRI data: Challenges, Solutions, and a Case Study
Eric Rawls, Bryan Andrews, Kelvin Lim +1
Designing studies that apply causal discovery requires navigating many researcher degrees of freedom. This complexity is exacerbated when the study involves fMRI data. In this pape…
cs.LG2023★ 7 cited
Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow-Shrink Trees
Bryan Andrews, Joseph Ramsey, Ruben Sanchez-Romero +2
Learning graphical conditional independence structures is an important machine learning problem and a cornerstone of causal discovery. However, the accuracy and execution time of l…