Inference with non-differentiable surrogate loss in a general high-dimensional classification framework
arXiv:2405.11723v2 Announce Type: replace-cross
Abstract: Penalized empirical risk minimization with a surrogate loss function is often used to learn a high-dimensional linear decision rule in classification problems. Although much of the literature f…