BibTeX Export for Online Algorithms with Limited Data Retention (Extended Abstract)

Copy to Clipboard Download

@InProceedings{immorlica_et_al:LIPIcs.FORC.2024.10,
  author =	{Immorlica, Nicole and Lucier, Brendan and Mobius, Markus and Siderius, James},
  title =	{{Online Algorithms with Limited Data Retention}},
  booktitle =	{5th Symposium on Foundations of Responsible Computing (FORC 2024)},
  pages =	{10:1--10:8},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-319-5},
  ISSN =	{1868-8969},
  year =	{2024},
  volume =	{295},
  editor =	{Rothblum, Guy N.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FORC.2024.10},
  URN =		{urn:nbn:de:0030-drops-200937},
  doi =		{10.4230/LIPIcs.FORC.2024.10},
  annote =	{Keywords: online algorithms, machine learning, data, privacy, law}
}

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