NeurIPS 2020poster18 citations
Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent
Dimitris Fotakis, Thanasis Lianeas, Georgios Piliouras, Stratis Skoulakis
Abstract
We consider a natural model of online preference aggregation, where sets of preferred items R
BibTeX
@inproceedings{NEURIPS2020_5938b4d0,
author = {Fotakis, Dimitris and Lianeas, Thanasis and Piliouras, Georgios and Skoulakis, Stratis},
booktitle = {Advances in Neural Information Processing Systems},
editor = {H. Larochelle and M. Ranzato and R. Hadsell and M.F. Balcan and H. Lin},
pages = {7816--7827},
publisher = {Curran Associates, Inc.},
title = {Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent},
url = {https://proceedings.neurips.cc/paper_files/paper/2020/file/5938b4d054136e5d59ada6ec9c295d7a-Paper.pdf},
volume = {33},
year = {2020}
}