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Aligning Data-Driven Predictors with Allocation: A Decision-Focused Approach to Survival Analysis

Itai Zilberstein, Ioannis Anagnostides, Tuomas Sandholm
Jun 3, 2026 at 04:00
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arXiv:2606.02671v1 Announce Type: cross Abstract: Machine learning predictors have become essential tools for guiding automated decision making. However, a major misalignment persists: predictive models are typically optimized in terms of standard statistical metrics in isolation from the algorithmic tasks they inform. We highlight this...

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