@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}
}