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]

References

No references recorded for this publication.

Cited by

No citations of this publication recorded.