Approximate resilience, monotonicity, and the complexity of agnostic learning

Dana Dachman-Soled, Vitaly Feldman, Li-Yang Tan, Andrew Wan, Karl Wimmer. Approximate resilience, monotonicity, and the complexity of agnostic learning. In Piotr Indyk, editor, Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2015, San Diego, CA, USA, January 4-6, 2015. pages 498-511, SIAM, 2015. [doi]

@inproceedings{Dachman-SoledFTWW15,
  title = {Approximate resilience, monotonicity, and the complexity of agnostic learning},
  author = {Dana Dachman-Soled and Vitaly Feldman and Li-Yang Tan and Andrew Wan and Karl Wimmer},
  year = {2015},
  doi = {10.1137/1.9781611973730.34},
  url = {http://dx.doi.org/10.1137/1.9781611973730.34},
  researchr = {https://researchr.org/publication/Dachman-SoledFTWW15},
  cites = {0},
  citedby = {0},
  pages = {498-511},
  booktitle = {Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2015, San Diego, CA, USA, January 4-6, 2015},
  editor = {Piotr Indyk},
  publisher = {SIAM},
  isbn = {978-1-61197-373-0},
}