Huber Distribution

The Huber distribution, a robust alternative to Gaussian distributions, is increasingly used in statistical modeling to mitigate the influence of outliers. Current research focuses on extending its application in diverse fields, including reinforcement learning (through quantile Huber loss functions), regression tasks (via deep Huber quantile regression networks), and uniformity testing. This robust approach improves the accuracy and reliability of predictions in various machine learning models and statistical analyses, leading to more reliable uncertainty quantification and improved performance in applications ranging from economic forecasting to computer vision.