Beyond Convexity: Online Submodular Minimization
Abstract
We consider an online decision problem over a discrete space in which the loss function is submodular. We give algorithms which are computationally efficient and are Hannan-consistent in both the full information and bandit settings.
Cite
Text
Hazan and Kale. "Beyond Convexity: Online Submodular Minimization." Neural Information Processing Systems, 2009.Markdown
[Hazan and Kale. "Beyond Convexity: Online Submodular Minimization." Neural Information Processing Systems, 2009.](https://mlanthology.org/neurips/2009/hazan2009neurips-beyond/)BibTeX
@inproceedings{hazan2009neurips-beyond,
title = {{Beyond Convexity: Online Submodular Minimization}},
author = {Hazan, Elad and Kale, Satyen},
booktitle = {Neural Information Processing Systems},
year = {2009},
pages = {700-708},
url = {https://mlanthology.org/neurips/2009/hazan2009neurips-beyond/}
}