Does Unlabeled Data Provably Help? Worst-Case Analysis of the Sample Complexity of Semi-Supervised Learning

Cite

Text

Ben-David et al. "Does Unlabeled Data Provably Help? Worst-Case Analysis of the Sample Complexity of Semi-Supervised Learning." Annual Conference on Computational Learning Theory, 2008.

Markdown

[Ben-David et al. "Does Unlabeled Data Provably Help? Worst-Case Analysis of the Sample Complexity of Semi-Supervised Learning." Annual Conference on Computational Learning Theory, 2008.](https://mlanthology.org/colt/2008/bendavid2008colt-unlabeled/)

BibTeX

@inproceedings{bendavid2008colt-unlabeled,
  title     = {{Does Unlabeled Data Provably Help? Worst-Case Analysis of the Sample Complexity of Semi-Supervised Learning}},
  author    = {Ben-David, Shai and Lu, Tyler and Pál, Dávid},
  booktitle = {Annual Conference on Computational Learning Theory},
  year      = {2008},
  pages     = {33-44},
  url       = {https://mlanthology.org/colt/2008/bendavid2008colt-unlabeled/}
}