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stat.ME2026
Everywhere Valid Bounds on False Discovery Proportions in Conformal Inference
Ziang Song, Ying Jin, Emmanuel J. Candès
Modern applications of conformal inference to multiple testing problems, such as outlier detection and candidate selection, often involve selecting test samples whose conformal p-v…
stat.ME2026
Optimized Labeling Resource Allocation for Prediction-Assisted Inference via OPAL
Virginia L. Ma, Emmanuel J. Candès
Active Statistical Inference is a new framework to make precise claims about population parameters with provable statistical guarantees. It uses a predictive "black-box" machine le…
stat.ME2025
Diversifying Conformal Selections
Yash Nair, Ying Jin, James Yang +1
When selecting from a list of potential candidates, it is important to ensure not only that the selected items are of high quality, but also that they are sufficiently dissimilar s…