Search Results for author: Margaux Zaffran

Found 2 papers, 2 papers with code

Conformal Prediction with Missing Values

1 code implementation5 Jun 2023 Margaux Zaffran, Aymeric Dieuleveut, Julie Josse, Yaniv Romano

This motivates our novel generalized conformalized quantile regression framework, missing data augmentation, which yields prediction intervals that are valid conditionally to the patterns of missing values, despite their exponential number.

Conformal Prediction Data Augmentation +5

Adaptive Conformal Predictions for Time Series

2 code implementations15 Feb 2022 Margaux Zaffran, Aymeric Dieuleveut, Olivier Féron, Yannig Goude, Julie Josse

While recent works tackled this issue, we argue that Adaptive Conformal Inference (ACI, Gibbs and Cand{\`e}s, 2021), developed for distribution-shift time series, is a good procedure for time series with general dependency.

Conformal Prediction Decision Making +4

Cannot find the paper you are looking for? You can Submit a new open access paper.