2 citations · 2 across the 2 of their papers we have counts for
2 papers
math.OC2024
A Generalized Version of Chung's Lemma and its Applications
Li Jiang, Xiao Li, Andre Milzarek +1
Chung's Lemma is a classical tool for establishing asymptotic convergence rates of (stochastic) optimization methods under strong convexity-type assumptions and appropriate polynom…
math.OC2023★ 2 cited
A Normal Map-Based Proximal Stochastic Gradient Method: Convergence and Identification Properties
Junwen Qiu, Li Jiang, Andre Milzarek
The proximal stochastic gradient method (PSGD) is one of the state-of-the-art approaches for stochastic composite-type problems. In contrast to its deterministic counterpart, PSGD…