BibTeX Export for The Role of Randomness and Noise in Strategic Classification

Copy to Clipboard Download

@InProceedings{braverman_et_al:LIPIcs.FORC.2020.9,
  author =	{Braverman, Mark and Garg, Sumegha},
  title =	{{The Role of Randomness and Noise in Strategic Classification}},
  booktitle =	{1st Symposium on Foundations of Responsible Computing (FORC 2020)},
  pages =	{9:1--9:20},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-142-9},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{156},
  editor =	{Roth, Aaron},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FORC.2020.9},
  URN =		{urn:nbn:de:0030-drops-120255},
  doi =		{10.4230/LIPIcs.FORC.2020.9},
  annote =	{Keywords: Strategic classification, noisy features, randomized classification, fairness}
}

The metadata provided by Dagstuhl Publishing on its webpages, as well as their export formats (such as XML or BibTeX) available at our website, is released under the CC0 1.0 Public Domain Dedication license. That is, you are free to copy, distribute, use, modify, transform, build upon, and produce derived works from our data, even for commercial purposes, all without asking permission. Of course, we are always happy if you provide a link to us as the source of the data.

Read the full CC0 1.0 legal code for the exact terms that apply: https://creativecommons.org/publicdomain/zero/1.0/legalcode