Risk-controlled post-processing yields a threshold-structured policy that follows the baseline except where an oracle fallback sharply reduces conditional violation risk, achieving O(log n/n) expected excess risk in i.i.d. settings and exact risk control under exchangeability.
Utility-directed conformal prediction: A decision-aware framework for actionable uncertainty quantification.arXiv preprint arXiv:2410.01767
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Learns polyhedral uncertainty sets for robust optimization using a decision-aware conformal prediction approach that minimizes robust loss while ensuring statistical coverage.
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Risk-Controlled Post-Processing of Decision Policies
Risk-controlled post-processing yields a threshold-structured policy that follows the baseline except where an oracle fallback sharply reduces conditional violation risk, achieving O(log n/n) expected excess risk in i.i.d. settings and exact risk control under exchangeability.
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Learning Polyhedral Conformal Sets for Robust Optimization
Learns polyhedral uncertainty sets for robust optimization using a decision-aware conformal prediction approach that minimizes robust loss while ensuring statistical coverage.