ICML 2017poster61 citations

Active Learning for Top-$K$ Rank Aggregation from Noisy Comparisons

Soheil Mohajer, Changho Suh, Adel Elmahdy

Abstract

We explore an active top-$K$ ranking problem based on pairwise comparisons that are collected possibly in a sequential manner as per our design choice. We consider two settings: (1)

BibTeX
@InProceedings{pmlr-v70-mohajer17a,
  title = 	 {Active Learning for Top-$K$ Rank Aggregation from Noisy Comparisons},
  author =       {Soheil Mohajer and Changho Suh and Adel Elmahdy},
  booktitle = 	 {Proceedings of the 34th International Conference on Machine Learning},
  pages = 	 {2488--2497},
  year = 	 {2017},
  editor = 	 {Precup, Doina and Teh, Yee Whye},
  volume = 	 {70},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {06--11 Aug},
  publisher =    {PMLR},
  pdf = 	 {http://proceedings.mlr.press/v70/mohajer17a/mohajer17a.pdf},
  url = 	 {https://proceedings.mlr.press/v70/mohajer17a.html},
  abstract = 	 {We explore an active top-$K$ ranking problem based on pairwise comparisons that are collected possibly in a sequential manner as per our design choice. We consider two settings: (1)
Active Learning for Top-$K$ Rank Aggregation from Noisy Comparisons · ICML 2017