@InProceedings{garg_et_al:LIPIcs.APPROX/RANDOM.2021.60,
author = {Garg, Sumegha and Kothari, Pravesh K. and Liu, Pengda and Raz, Ran},
title = {{Memory-Sample Lower Bounds for Learning Parity with Noise}},
booktitle = {Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2021)},
pages = {60:1--60:19},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-207-5},
ISSN = {1868-8969},
year = {2021},
volume = {207},
editor = {Wootters, Mary and Sanit\`{a}, Laura},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX/RANDOM.2021.60},
URN = {urn:nbn:de:0030-drops-147534},
doi = {10.4230/LIPIcs.APPROX/RANDOM.2021.60},
annote = {Keywords: memory-sample tradeoffs, learning parity under noise, space lower bound, branching program}
}