92 citations · 151 across the 16 of their papers we have counts for
3 papers · 1 filter
Adaptive conformal classification with noisy labels
Matteo Sesia, Y. X. Rachel Wang, Xin Tong
This paper develops novel conformal prediction methods for classification tasks that can automatically adapt to random label contamination in the calibration sample, leading to mor…
Derandomized Novelty Detection with FDR Control via Conformal E-values
Meshi Bashari, Amir Epstein, Yaniv Romano +1
Conformal inference provides a general distribution-free method to rigorously calibrate the output of any machine learning algorithm for novelty detection. While this approach has…
Conformal inference is (almost) free for neural networks trained with early stopping
Ziyi Liang, Yanfei Zhou, Matteo Sesia
Early stopping based on hold-out data is a popular regularization technique designed to mitigate overfitting and increase the predictive accuracy of neural networks. Models trained…