@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}
}