5 citations · 11 across the 10 of their papers we have counts for
3 papers · 1 filter
Intervening to Learn and Compose Causally Disentangled Representations
Alex Markham, Isaac Hirsch, Jeri A. Chang +2
In designing generative models, it is commonly believed that in order to learn useful latent structure, we face a fundamental tension between expressivity and structure. In this pa…
Scalable Structure Learning for Sparse Context-Specific Systems
Felix Leopoldo Rios, Alex Markham, Liam Solus
Several approaches to graphically representing context-specific relations among jointly distributed categorical variables have been proposed, along with structure learning algorith…
Neuro-Causal Factor Analysis
Alex Markham, Mingyu Liu, Bryon Aragam +1
Factor analysis (FA) is a statistical method for explaining how mutually dependent observed variables can be represented in terms of mutually independent latent factors, and it is…