107 citations · 185 across the 9 of their papers we have counts for
4 papers · 1 filter
Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization
Fanhua Shang, Bingkun Wei, Hongying Liu +2
Large-scale non-convex sparsity-constrained problems have recently gained extensive attention. Most existing deterministic optimization methods (e.g., GraSP) are not suitable for l…
Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls
Jiacheng Zhuo, Qi Lei, Alexandros G. Dimakis +1
Large-scale machine learning training suffers from two prior challenges, specifically for nuclear-norm constrained problems with distributed systems: the synchronization slowdown d…
Primal-Dual Block Frank-Wolfe
Qi Lei, Jiacheng Zhuo, Constantine Caramanis +2
We propose a variant of the Frank-Wolfe algorithm for solving a class of sparse/low-rank optimization problems. Our formulation includes Elastic Net, regularized SVMs and phase ret…
Bottom-up Object Detection by Grouping Extreme and Center Points
Xingyi Zhou, Jiacheng Zhuo, Philipp Krähenbühl
With the advent of deep learning, object detection drifted from a bottom-up to a top-down recognition problem. State of the art algorithms enumerate a near-exhaustive list of objec…