Causal Bandits with General Causal Models and Interventions

no code implementations • 1 Mar 2024 • Zirui Yan, Dennis Wei, Dmitriy Katz-Rogozhnikov, Prasanna Sattigeri, Ali Tajer

First, the structural causal models (SCMs) are assumed to be unknown and drawn arbitrarily from a general class $\mathcal{F}$ of Lipschitz-continuous functions.

High-Dimensional Feature Selection for Sample Efficient Treatment Effect Estimation

no code implementations • 3 Nov 2020 • Kristjan Greenewald, Dmitriy Katz-Rogozhnikov, Karthik Shanmugam

The estimation of causal treatment effects from observational data is a fundamental problem in causal inference.

Causal Inference feature selection +1