Published in: LIPIcs, Volume 94, 9th Innovations in Theoretical Computer Science Conference (ITCS 2018)
Dana Moshkovitz and Michal Moshkovitz. Entropy Samplers and Strong Generic Lower Bounds For Space Bounded Learning. In 9th Innovations in Theoretical Computer Science Conference (ITCS 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 94, pp. 28:1-28:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)
@InProceedings{moshkovitz_et_al:LIPIcs.ITCS.2018.28, author = {Moshkovitz, Dana and Moshkovitz, Michal}, title = {{Entropy Samplers and Strong Generic Lower Bounds For Space Bounded Learning}}, booktitle = {9th Innovations in Theoretical Computer Science Conference (ITCS 2018)}, pages = {28:1--28:20}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-060-6}, ISSN = {1868-8969}, year = {2018}, volume = {94}, editor = {Karlin, Anna R.}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2018.28}, URN = {urn:nbn:de:0030-drops-83374}, doi = {10.4230/LIPIcs.ITCS.2018.28}, annote = {Keywords: learning, space bound, mixing, certainty, entropy sampler} }
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