Proposes causal risk minimization via higher-order moment-balancing error decomposition and attribute projection for high-dimensional treatments, with experiments on continuous, discrete, and text data.
Causal Effects of Linguistic Properties, June 2021
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A data-derived baseline using feature effects on binary outcomes provides a model-agnostic way to check if machine learning explanations align with the underlying data structure.
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Causal Risk Minimization for High-Dimensional Treatments
Proposes causal risk minimization via higher-order moment-balancing error decomposition and attribute projection for high-dimensional treatments, with experiments on continuous, discrete, and text data.
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Does the Model Say What the Data Says? A Simple Heuristic for Model Data Alignment
A data-derived baseline using feature effects on binary outcomes provides a model-agnostic way to check if machine learning explanations align with the underlying data structure.