Search Results for author: Amanda Gentzel

Found 2 papers, 0 papers with code

How and Why to Use Experimental Data to Evaluate Methods for Observational Causal Inference

no code implementations6 Oct 2020 Amanda Gentzel, Purva Pruthi, David Jensen

Methods that infer causal dependence from observational data are central to many areas of science, including medicine, economics, and the social sciences.

Causal Inference

The Case for Evaluating Causal Models Using Interventional Measures and Empirical Data

no code implementations NeurIPS 2019 Amanda Gentzel, Dan Garant, David Jensen

However, evaluation techniques for causal modeling algorithms have remained somewhat primitive, limiting what we can learn from experimental studies of algorithm performance, constraining the types of algorithms and model representations that researchers consider, and creating a gap between theory and practice.

Causal Inference Fairness

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