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2025 ICML ICML 2025

A Meta-learner for Heterogeneous Effects in Difference-in-Differences

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Data Science & Analytics and Knowledge & Reasoning

Authors

Hui Lan, Haoge Chang, Eleanor Wiske Dillon, Vasilis Syrgkanis

Topics

Artificial Intelligence > Core AI > Causal Inference Knowledge & Reasoning > Representation > Knowledge Graphs Data Science & Analytics > Methods > Time Series Analysis

Keywords

covariate shift neyman orthogonality auxiliary model conditional average treatment effect on the treated (catt) difference-in-differences doubly robust meta-learner
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