[ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
📦 R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling
🌳 🎯 Cross Validated Decision Trees with Targeted Maximum Likelihood Estimation
Estimation of causal effects with small data in the presence of trapdoor variables
R package for the estimation of causal effects.
"Causal Effect Estimation" research internship of Thierry Rioual, supervised by Pierre-Henri Wuillemin (Sorbonne University & LIP6)
Collection of datasets for causal tasks.
Second assignment for Artificial Intelligence course @USI19/20.
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