Hybrid Conditional Gradient - Smoothing Algorithms with Applications to
Sparse and Low Rank Regularization

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Hybrid Conditional Gradient - Smoothing Algorithms with Applications to Sparse and Low Rank Regularization

14 April 2014

Andreas Argyriou

Marco Signoretto

Johan A. K. Suykens

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Papers citing "Hybrid Conditional Gradient - Smoothing Algorithms with Applications to Sparse and Low Rank Regularization"

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Title
Nonsmooth Projection-Free Optimization with Functional Constraints Kamiar Asgari Michael J. Neely 68 0 0 18 Nov 2023
Linearization Algorithms for Fully Composite Optimization Maria-Luiza Vladarean N. Doikov Martin Jaggi Nicolas Flammarion 79 3 0 24 Feb 2023
Projection-Free Adaptive Gradients for Large-Scale Optimization Cyrille W. Combettes Christoph Spiegel Sebastian Pokutta ODL 92 11 0 29 Sep 2020
Faster Projection-free Online Learning Elad Hazan Edgar Minasyan 122 59 0 30 Jan 2020
Revisiting the Approximate Carathéodory Problem via the Frank-Wolfe Algorithm Cyrille W. Combettes Sebastian Pokutta 90 26 0 11 Nov 2019
Model Function Based Conditional Gradient Method with Armijo-like Line Search Yura Malitsky Peter Ochs 47 4 0 23 Jan 2019
A Deterministic Nonsmooth Frank Wolfe Algorithm with Coreset Guarantees Sathya Ravi Maxwell D. Collins Vikas Singh 27 19 0 22 Aug 2017
Adaptive Smoothing Algorithms for Nonsmooth Composite Convex Minimization Quoc Tran-Dinh 130 28 0 01 Sep 2015