5 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
A Local Convergence Theory for the Stochastic Gradient Descent Method in Non-Convex Optimization With Non-isolated Local Minima
Taehee Ko, Xiantao Li
Loss functions with non-isolated minima have emerged in several machine learning problems, creating a gap between theory and practice. In this paper, we formulate a new type of loc…
math.NA2021★ 5 cited
Stochastic Algorithms for Self-consistent Calculations of Electronic Structures
Taehee Ko, Xiantao Li
The convergence property of a stochastic algorithm for the self-consistent field (SCF) calculations of electron structures is studied. The algorithm is formulated by rewriting the…