3 citations · 7 across the 9 of their papers we have counts for
4 papers · 1 filter
Gradient descent inference in empirical risk minimization
Qiyang Han, Xiaocong Xu
Gradient descent is one of the most widely used iterative algorithms in modern statistical learning. However, its precise algorithmic dynamics in high-dimensional settings remain o…
A leave-one-out approach to approximate message passing
Zhigang Bao, Qiyang Han, Xiaocong Xu
Approximate message passing (AMP) has emerged both as a popular class of iterative algorithms and as a powerful analytic tool in a wide range of statistical estimation problems and…
The distribution of Ridgeless least squares interpolators
Qiyang Han, Xiaocong Xu
The Ridgeless minimum -norm interpolator in overparametrized linear regression has attracted considerable attention in recent years in both machine learning and statistics…
Spectral Statistics of Sample Block Correlation Matrices
Zhigang Bao, Jiang Hu, Xiaocong Xu +1
A fundamental concept in multivariate statistics, sample correlation matrix, is often used to infer the correlation/dependence structure among random variables, when the population…