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stat.ME2025
Interpretable Multivariate Conformal Prediction with Fast Transductive Standardization
Yunjie Fan, Matteo Sesia
We propose a conformal prediction method for constructing tight simultaneous prediction intervals for multiple, potentially related, numerical outputs given a single input. This me…
stat.AP2025
Distribution-Free Selection of Low-Risk Oncology Patients for Survival Beyond a Time Horizon
Matteo Sesia, Vladimir Svetnik
We study how to select a subset of patients who are unlikely to experience an adverse event within a given time horizon, by calibrating a screening rule based on the output of any…
stat.ME2025
Conformal Survival Bands for Risk Screening under Right-Censoring
Matteo Sesia, Vladimir Svetnik
We propose a method to quantify uncertainty around individual survival distribution estimates using right-censored data, compatible with any survival model. Unlike classical confid…