1 citations · 1 across the 2 of their papers we have counts for
2 papers
stat.ME2026
Principled Inference in Dense High-Dimensional Linear Models via Local Conditional Sparsity
Wenjun Xiong, Yan Chen, Mingya Long +1
High-dimensional inference methods often rely on coefficient sparsity, an assumption that can be restrictive when signals are dense but individually weak. In such settings, valid i…
stat.ML2025★ 1 cited
Tight Generalization Error Bounds for Stochastic Gradient Descent in Non-convex Learning
Wenjun Xiong, Juan Ding, Xinlei Zuo +1
Stochastic Gradient Descent (SGD) is fundamental for training deep neural networks, especially in non-convex settings. Understanding SGD's generalization properties is crucial for…