A Linearly Convergent Variant of the Conditional Gradient Algorithm under Strong Convexity, with Applications to Online and Stochastic Optimization

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]

Authors

Dan Garber

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Elad Hazan

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