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arXiv Machine Learning By Riccardo Cadei, Frank Otchere, Nyasha Tirivayi, Gustavo Angeles Tagliaferro, Falco J. Bargagli-Stoffi, Francesco Locatello

From Tokens to Policy: Causal and Interpretable Heterogeneous Treatment Effects Identification

Read the original on arXiv Machine Learning →

arXiv:2606. 17010v1 Announce Type: new Abstract: Heterogeneous Treatment Effect (HTE) identification is crucial to explain the impact of an intervention and optimize our policies accordingly.

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