@InProceedings{harms_et_al:LIPIcs.ICALP.2022.71,
  author =	{Harms, Nathaniel and Yoshida, Yuichi},
  title =	{{Downsampling for Testing and Learning in Product Distributions}},
  booktitle =	{49th International Colloquium on Automata, Languages, and Programming (ICALP 2022)},
  pages =	{71:1--71:19},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-235-8},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{229},
  editor =	{Boja\'{n}czyk, Miko{\l}aj and Merelli, Emanuela and Woodruff, David P.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2022.71},
  URN =		{urn:nbn:de:0030-drops-164123},
  doi =		{10.4230/LIPIcs.ICALP.2022.71},
  annote =	{Keywords: property testing, learning, monotonicity, halfspaces, intersections of halfspaces, polynomial threshold functions}
}