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Tag: events

  • Extreme Event Aware ($eta$-) Learning

    Extreme Event Aware ($eta$-) Learning arXiv:2510.19161v1 Announce Type: new Abstract: Quantifying and predicting rare and extreme events persists as a crucial yet challenging task in understanding complex dynamical systems. Many practical challenges arise from the infrequency and severity of these events, including the considerable variance of simple sampling methods and the substantial computational cost of…

  • Behavior of prediction performance metrics with rare events

    Behavior of prediction performance metrics with rare events arXiv:2504.16185v1 Announce Type: new Abstract: Area under the receiving operator characteristic curve (AUC) is commonly reported alongside binary prediction models. However, there are concerns that AUC might be a misleading measure of prediction performance in the rare event setting. This setting is common since many events of…