@InProceedings{krivosija_et_al:LIPIcs.SoCG.2019.47,
author = {Krivo\v{s}ija, Amer and Munteanu, Alexander},
title = {{Probabilistic Smallest Enclosing Ball in High Dimensions via Subgradient Sampling}},
booktitle = {35th International Symposium on Computational Geometry (SoCG 2019)},
pages = {47:1--47:14},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-104-7},
ISSN = {1868-8969},
year = {2019},
volume = {129},
editor = {Barequet, Gill and Wang, Yusu},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.SoCG.2019.47},
URN = {urn:nbn:de:0030-drops-104515},
doi = {10.4230/LIPIcs.SoCG.2019.47},
annote = {Keywords: geometric median, convex optimization, smallest enclosing ball, probabilistic data, support vector data description, kernel methods}
}