@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.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}
}