163 citations · 1.2k across the 128 of their papers we have counts for
3 papers · 1 filter
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
Zhishuai Guo, Mingrui Liu, Zhuoning Yuan +3
In this paper, we study distributed algorithms for large-scale AUC maximization with a deep neural network as a predictive model. Although distributed learning techniques have been…
Hybrid-DCA: A Double Asynchronous Approach for Stochastic Dual Coordinate Ascent
Soumitra Pal, Tingyang Xu, Tianbao Yang +2
In prior works, stochastic dual coordinate ascent (SDCA) has been parallelized in a multi-core environment where the cores communicate through shared memory, or in a multi-processo…
Analysis of Distributed Stochastic Dual Coordinate Ascent
Tianbao Yang, Shenghuo Zhu, Rong Jin +1
In \citep{Yangnips13}, the author presented distributed stochastic dual coordinate ascent (DisDCA) algorithms for solving large-scale regularized loss minimization. Extraordinary p…