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Carlos Miguel Patiño

2 accepted papers

2025

Utility-Directed Conformal Prediction: A Decision-Aware Framework for Actionable Uncertainty Quantification

ICLR 2025poster

There is increasing interest in ``decision-focused" machine learning methods which train models to account for how their predictions are used in downstream optimization problems. Doing so can often improve performance on subsequent decision problems. However, current methods for uncertainty quantifi…

Cited by 0SourcePDFScholar
2024

Statistical Inference Under Constrained Selection Bias

ICML 2024poster

Large-scale datasets are increasingly being used to inform decision making. While this effort aims to ground policy in real-world evidence, challenges have arisen as selection bias and other forms of distribution shifts often plague observational data. Previous attempts to provide robust inference h…

Cited by 2SourcePDFScholar