@InProceedings{klivans_et_al:LIPIcs.APPROX-RANDOM.2014.793, author = {Klivans, Adam and Kothari, Pravesh}, title = {{Embedding Hard Learning Problems Into Gaussian Space}}, booktitle = {Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2014)}, pages = {793--809}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-939897-74-3}, ISSN = {1868-8969}, year = {2014}, volume = {28}, editor = {Jansen, Klaus and Rolim, Jos\'{e} and Devanur, Nikhil R. and Moore, Cristopher}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX-RANDOM.2014.793}, URN = {urn:nbn:de:0030-drops-47391}, doi = {10.4230/LIPIcs.APPROX-RANDOM.2014.793}, annote = {Keywords: distribution-specific hardness of learning, gaussian space, halfspace-learning, agnostic learning} }
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