538 citations · 2.3k across the 54 of their papers we have counts for
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cs.LG2011★ 253 cited
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
Mark Schmidt, Nicolas Le Roux, Francis Bach
We consider the problem of optimizing the sum of a smooth convex function and a non-smooth convex function using proximal-gradient methods, where an error is present in the calcula…
cs.CV2011★ 16 cited
Generalized Fast Approximate Energy Minimization via Graph Cuts: Alpha-Expansion Beta-Shrink Moves
Mark Schmidt, Karteek Alahari
We present alpha-expansion beta-shrink moves, a simple generalization of the widely-used alpha-beta swap and alpha-expansion algorithms for approximate energy minimization. We show…
math.NA2011★ 254 cited
Hybrid Deterministic-Stochastic Methods for Data Fitting
Michael P. Friedlander, Mark Schmidt
Many structured data-fitting applications require the solution of an optimization problem involving a sum over a potentially large number of measurements. Incremental gradient algo…