arXiv stat.ML
· Papers
Extreme Event Aware ($eta$-) Learning
arXiv:2510.19161v2 Announce Type: replace Abstract: Quantifying and predicting rare and extreme events is challenging because such events are infrequent, severe, and expensive to simulate. Existing data-driven methods often require multiple extremes in the training data or sampling process, leading to accurate predicti