3 papers
cs.LG2026
Causal Foundation Models
Christopher Stith, Hossein Rahmani, Jesse C. Cresswell
Causal inference is the practice of estimating the effect of a treatment or intervention from data. It traditionally requires a bespoke pipeline for every new problem: first propos…
cs.LG2026
Causal Foundation Models with Continuous Treatments
Christopher Stith, Medha Barath, Vahid Balazadeh +2
Causal inference, estimating causal effects from observational data, is a fundamental tool in many disciplines. Of particular importance across a variety of domains is the continuo…
gr-qc2024
Linear hyperbolic equations in a double null foliation
Christopher Stith
The Bianchi identities for the Weyl curvature tensor of a spacetime solving the vacuum Einstein equations in a double null foliation exhibit a hyperbolic structure, which…