3 papers
cs.LG2026
Partial Causal Structure Learning for Valid Selective Conformal Inference under Interventions
Amir Asiaee, Kavey Aryan, James P. Long
Selective conformal prediction can yield substantially tighter uncertainty sets when we can identify calibration examples that are exchangeable with the test example. In interventi…
cs.LG2025
Causal Discovery with Mixed Latent Confounding via Precision Decomposition
Amir Asiaee, Samhita Pal, James O'quinn +1
We study causal discovery from observational data in linear Gaussian systems affected by \emph{mixed latent confounding}, where some unobserved factors act broadly across many vari…
cs.LG2025
DAG DECORation: Continuous Optimization for Structure Learning under Hidden Confounding
Samhita Pal, James O'quinn, Kaveh Aryan +3
We study structure learning for linear Gaussian SEMs in the presence of latent confounding. Existing continuous methods excel when errors are independent, while deconfounding-first…