2 papers
stat.ME2026
Quantifying uncertainty and stability among highly correlated predictors: a subspace perspective
Xiaozhu Zhang, Jacob Bien, Armeen Taeb
We study the problem of linear feature selection when features are highly correlated. Such settings pose two fundamental challenges. First, how should model similarity be defined?…
stat.ME2025
Convex Mixed-Integer Programming for Causal Additive Models with Optimization and Statistical Guarantees
Xiaozhu Zhang, Nir Keret, Ali Shojaie +1
We study the problem of learning a directed acyclic graph from data generated according to an additive, non-linear structural equation model with Gaussian noise. We express each no…