42 citations · 157 across the 25 of their papers we have counts for
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cs.LG2016
Communication Lower Bounds for Distributed Convex Optimization: Partition Data on Features
Zihao Chen, Luo Luo, Zhihua Zhang
Recently, there has been an increasing interest in designing distributed convex optimization algorithms under the setting where the data matrix is partitioned on features. Algorith…
math.OC2016★ 3 cited
Revisiting Sub-sampled Newton Methods
Haishan Ye, Luo Luo, Zhihua Zhang
Many machine learning models depend on solving a large scale optimization problem. Recently, sub-sampled Newton methods have emerged to attract much attention for optimization due…
cs.LG2016★ 4 cited
A Proximal Stochastic Quasi-Newton Algorithm
Luo Luo, Zihao Chen, Zhihua Zhang +1
In this paper, we discuss the problem of minimizing the sum of two convex functions: a smooth function plus a non-smooth function. Further, the smooth part can be expressed by the…