15 citations · 26 across the 8 of their papers we have counts for
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cs.LG2014
A Comparison of First-order Algorithms for Machine Learning
Yu Wei, Pock Thomas
Using an optimization algorithm to solve a machine learning problem is one of mainstreams in the field of science. In this work, we demonstrate a comprehensive comparison of some s…
cs.CV2014★ 15 cited
iPiano: Inertial Proximal Algorithm for Non-Convex Optimization
Peter Ochs, Yunjin Chen, Thomas Brox +1
In this paper we study an algorithm for solving a minimization problem composed of a differentiable (possibly non-convex) and a convex (possibly non-differentiable) function. The a…