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2024 ICML ICML 2024

Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis

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.

Authors

Daniel Csillag, Claudio Jose Struchiner, Guilherme Tegoni Goedert

Topics

Artificial Intelligence > Core AI > Causal Inference Machine Learning > Core Methods > Regression Machine Learning > Optimization & Theory > Learning Theory

Keywords

generalization bound hidden confounding positivity violation causal regression change-of-measure inequality treatment propensities
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