Dan Garber, Elad Hazan. A Linearly Convergent Variant of the Conditional Gradient Algorithm under Strong Convexity, with Applications to Online and Stochastic Optimization. SIAM Journal on Optimization, 26(3):1493-1528, 2016. [doi]
@article{GarberH16-0,
title = {A Linearly Convergent Variant of the Conditional Gradient Algorithm under Strong Convexity, with Applications to Online and Stochastic Optimization},
author = {Dan Garber and Elad Hazan},
year = {2016},
doi = {10.1137/140985366},
url = {http://dx.doi.org/10.1137/140985366},
researchr = {https://researchr.org/publication/GarberH16-0},
cites = {0},
citedby = {0},
journal = {SIAM Journal on Optimization},
volume = {26},
number = {3},
pages = {1493-1528},
}