A Linearly Convergent Conditional Gradient Algorithm with Applications to Online and Stochastic Optimization

20 January 2013

Papers citing "A Linearly Convergent Conditional Gradient Algorithm with Applications to Online and Stochastic Optimization"

11 / 11 papers shown

Title
Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret Guarantees Yibo Wang Wenhao Yang Wei Jiang Shiyin Lu Bing Wang Haihong Tang Yuanyu Wan Lijun Zhang 24 6 0 19 May 2023
Improved Dynamic Regret for Online Frank-Wolfe Yuanyu Wan Lijun Zhang Mingli Song 15 11 0 11 Feb 2023
A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization Deyi Liu V. Cevher Quoc Tran-Dinh 28 15 0 17 Feb 2020
Faster Projection-free Online Learning Elad Hazan Edgar Minasyan 15 58 0 30 Jan 2020
Apprenticeship Learning via Frank-Wolfe Tom Zahavy Alon Cohen Haim Kaplan Yishay Mansour 16 18 0 05 Nov 2019
Blended Conditional Gradients: the unconditioning of conditional gradients Gábor Braun S. Pokutta Dan Tu S. Wright 32 25 0 18 May 2018
Online Continuous Submodular Maximization Lin Chen Hamed Hassani Amin Karbasi 21 83 0 16 Feb 2018
Conditional Accelerated Lazy Stochastic Gradient Descent Guanghui Lan S. Pokutta Yi Zhou Daniel Zink 26 27 0 16 Mar 2017
Linear-memory and Decomposition-invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes Dan Garber Ofer Meshi 6 51 0 20 May 2016
On the Global Linear Convergence of Frank-Wolfe Optimization Variants Simon Lacoste-Julien Martin Jaggi 19 406 0 18 Nov 2015
On the Online Frank-Wolfe Algorithms for Convex and Non-convex Optimizations Jean Lafond Hoi-To Wai Eric Moulines 37 32 0 05 Oct 2015