ConquerNet: Convolution-Smoothed Quantile ReLU Neural Networks with Minimax Guarantees
arXiv:2605.06265v1 Announce Type: new
Abstract: Quantile regression is a fundamental tool for distributional learning but poses significant optimization challenges for deep models due to the non-smoothness of the pinball loss. We propose ConquerNet, a…