66 citations · 474 across the 59 of their papers we have counts for
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cs.LG2015★ 46 cited
Beyond Convexity: Stochastic Quasi-Convex Optimization
Elad Hazan, Kfir Y. Levy, Shai Shalev-Shwartz
Stochastic convex optimization is a basic and well studied primitive in machine learning. It is well known that convex and Lipschitz functions can be minimized efficiently using St…
cs.LG2015★ 54 cited
On Graduated Optimization for Stochastic Non-Convex Problems
Elad Hazan, Kfir Y. Levy, Shai Shalev-Shwartz
The graduated optimization approach, also known as the continuation method, is a popular heuristic to solving non-convex problems that has received renewed interest over the last d…