[ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
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Updated
Oct 19, 2023 - Python
[ 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
Second assignment for Artificial Intelligence course @USI19/20.
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