26 citations · 71 across the 16 of their papers we have counts for
3 papers · 2 filters
R-SPIDER: A Fast Riemannian Stochastic Optimization Algorithm with Curvature Independent Rate
Jingzhao Zhang, Hongyi Zhang, Suvrit Sra
We study smooth stochastic optimization problems on Riemannian manifolds. Via adapting the recently proposed SPIDER algorithm \citep{fang2018spider} (a variance reduced stochastic…
Achieving Acceleration in Distributed Optimization via Direct Discretization of the Heavy-Ball ODE
Jingzhao Zhang, César A. Uribe, Aryan Mokhtari +1
We develop a distributed algorithm for convex Empirical Risk Minimization, the problem of minimizing large but finite sum of convex functions over networks. The proposed algorithm…
Direct Runge-Kutta Discretization Achieves Acceleration
Jingzhao Zhang, Aryan Mokhtari, Suvrit Sra +1
We study gradient-based optimization methods obtained by directly discretizing a second-order ordinary differential equation (ODE) related to the continuous limit of Nesterov's acc…