Sparse covers for sums of indicators

For all n, ε > 0), we show that the set of Poisson Binomial distributions on n variables admits a proper ε-cover in total variation distance of size n[superscript 2] + n · (1/ε)[superscript O(log[superscript 2] (1/ε)), which can also be computed in polynomial time. We discuss the implications of...

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Main Authors: Papadimitriou, Christos, Daskalakis, Konstantinos
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:en_US
Published: Springer-Verlag 2015
Online Access:http://hdl.handle.net/1721.1/99971
https://orcid.org/0000-0002-5451-0490
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author Papadimitriou, Christos
Daskalakis, Konstantinos
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Papadimitriou, Christos
Daskalakis, Konstantinos
author_sort Papadimitriou, Christos
collection MIT
description For all n, ε > 0), we show that the set of Poisson Binomial distributions on n variables admits a proper ε-cover in total variation distance of size n[superscript 2] + n · (1/ε)[superscript O(log[superscript 2] (1/ε)), which can also be computed in polynomial time. We discuss the implications of our construction for approximation algorithms and the computation of approximate Nash equilibria in anonymous games.
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spelling mit-1721.1/999712022-09-28T17:05:15Z Sparse covers for sums of indicators Papadimitriou, Christos Daskalakis, Konstantinos Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Daskalakis, Konstantinos For all n, ε > 0), we show that the set of Poisson Binomial distributions on n variables admits a proper ε-cover in total variation distance of size n[superscript 2] + n · (1/ε)[superscript O(log[superscript 2] (1/ε)), which can also be computed in polynomial time. We discuss the implications of our construction for approximation algorithms and the computation of approximate Nash equilibria in anonymous games. Alfred P. Sloan Foundation (Fellowship) Microsoft Research (Faculty Fellowship) National Science Foundation (U.S.) (CAREER Award CCF-0953960) National Science Foundation (U.S.) (Award CCF-1101491) 2015-11-20T18:44:55Z 2015-11-20T18:44:55Z 2014-11 2014-10 Article http://purl.org/eprint/type/JournalArticle 0178-8051 1432-2064 http://hdl.handle.net/1721.1/99971 Daskalakis, Constantinos, and Christos Papadimitriou. “Sparse Covers for Sums of Indicators.” Probab. Theory Relat. Fields 162, no. 3–4 (November 2, 2014): 679–705. https://orcid.org/0000-0002-5451-0490 en_US http://dx.doi.org/10.1007/s00440-014-0582-8 Probability Theory and Related Fields Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Springer-Verlag arXiv
spellingShingle Papadimitriou, Christos
Daskalakis, Konstantinos
Sparse covers for sums of indicators
title Sparse covers for sums of indicators
title_full Sparse covers for sums of indicators
title_fullStr Sparse covers for sums of indicators
title_full_unstemmed Sparse covers for sums of indicators
title_short Sparse covers for sums of indicators
title_sort sparse covers for sums of indicators
url http://hdl.handle.net/1721.1/99971
https://orcid.org/0000-0002-5451-0490
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