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arXiv Machine Learning By Jonathan Zhang, Erik Skalnes, Jacob Chen, Michael Oberst

Bounding the Causal Impact of ML-assisted Decision-Making via Counterfactual Correctness

Read the original on arXiv Machine Learning →

arXiv:2607. 21806v1 Announce Type: new Abstract: Predictive machine learning (ML) models are increasingly used to aid human decision-makers across various high-risk domains such as healthcare and criminal justice.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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