1 citations · 1 across the 8 of their papers we have counts for
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Neuroevolutionary Feature Representations for Causal Inference
Michael C. Burkhart, Gabriel Ruiz
Within the field of causal inference, we consider the problem of estimating heterogeneous treatment effects from data. We propose and validate a novel approach for learning feature…
High confidence inference on the probability an individual benefits from treatment using experimental or observational data with known propensity scores
Gabriel Ruiz, Oscar Hernan Madrid Padilla
We seek to understand the probability an individual benefits from treatment (PIBT), an inestimable quantity that must be bounded in practice. Given the innate uncertainty in the po…
Sequentially learning the topological ordering of causal directed acyclic graphs with likelihood ratio scores
Gabriel Ruiz, Oscar Hernan Madrid Padilla, Qing Zhou
Causal discovery, the learning of causality in a data mining scenario, has been of strong scientific and theoretical interest as a starting point to identify "what causes what?" Co…