@Article{loh_et_al:DagRep.8.3.60,
  author =	{Loh, Po-Ling and Mazumdar, Arya and Papailiopoulos, Dimitris and Urbanke, R\"{u}diger},
  title =	{{Coding Theory for Inference, Learning and Optimization (Dagstuhl Seminar 18112)}},
  pages =	{60--73},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2018},
  volume =	{8},
  number =	{3},
  editor =	{Loh, Po-Ling and Mazumdar, Arya and Papailiopoulos, Dimitris and Urbanke, R\"{u}diger},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.8.3.60},
  URN =		{urn:nbn:de:0030-drops-92977},
  doi =		{10.4230/DagRep.8.3.60},
  annote =	{Keywords: Coding theory, Distributed optimization, Machine learning, Threshold phenomena}
}