15 citations · 15 across the 1 of their papers we have counts for
2 papers
cs.LG2016
Scaling Submodular Maximization via Pruned Submodularity Graphs
Tianyi Zhou, Hua Ouyang, Yi Chang +2
We propose a new random pruning method (called "submodular sparsification (SS)") to reduce the cost of submodular maximization. The pruning is applied via a "submodularity graph" o…
cs.LG2012★ 15 cited
Stochastic ADMM for Nonsmooth Optimization
Hua Ouyang, Niao He, Alexander Gray
We present a stochastic setting for optimization problems with nonsmooth convex separable objective functions over linear equality constraints. To solve such problems, we propose a…