2 papers
stat.ML2026
ConquerNet: Convolution-Smoothed Quantile ReLU Neural Networks with Minimax Guarantees
Tianpai Luo, Fangwei Wu, Weichi Wu
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. W…
stat.ME2026
Complex trend inference for high-dimensional piecewise locally stationary time series
Lujia Bai, David Veitch, Weichi Wu +2
This paper studies high-dimensional trend inference for piecewise smooth signals under nonstationary noise and asynchronous structural breaks by first detecting asynchronous change…