4 citations · 4 across the 1 of their papers we have counts for
2 papers
stat.ML2020★ 4 cited
Towards Optimal Problem Dependent Generalization Error Bounds in Statistical Learning Theory
Yunbei Xu, Assaf Zeevi
We study problem-dependent rates, i.e., generalization errors that scale near-optimally with the variance, the effective loss, or the gradient norms evaluated at the "best hypothes…
math.OC2018
Acceleration of Primal-Dual Methods by Preconditioning and Simple Subproblem Procedures
Yanli Liu, Yunbei Xu, Wotao Yin
Primal-Dual Hybrid Gradient (PDHG) and Alternating Direction Method of Multipliers (ADMM) are two widely-used first-order optimization methods. They reduce a difficult problem to s…