Conference paper, 2017
When cyclic coordinate descent outperforms randomized coordinate descent
Advances in Neural Information Processing Systems (NeurIPS), 2017. Spotlight presentation.
In brief
Random coordinate selection is usually assumed to be safer than a fixed cyclic order, because worst-case bounds say the cyclic order can be far slower. This paper exhibits a natural class of problems on which the opposite holds: the cyclic order converges provably faster than random selection, and the gap can grow with the dimension.
Cite
@inproceedings{gurbuzbalaban2017ccd,
title = {When cyclic coordinate descent outperforms randomized coordinate descent},
author = {Mert Gürbüzbalaban and Asuman Ozdaglar and Pablo A. Parrilo and Nuri Denizcan Vanli},
year = {2017},
booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
url = {https://proceedings.neurips.cc/paper/2017/hash/0e7c7d6c41c76b9ee6445ae01cc0181d-Abstract.html},
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