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pro vyhledávání: '"Naamad, Yonatan"'
We study efficient mechanisms for differentially private kernel density estimation (DP-KDE). Prior work for the Gaussian kernel described algorithms that run in time exponential in the number of dimensions $d$. This paper breaks the exponential barri
Externí odkaz:
http://arxiv.org/abs/2307.01877
Autor:
Nagesh, Supriya, Mishra, Nina, Naamad, Yonatan, Rehg, James M., Shah, Mehul A., Wagner, Alexei
Machine learning models perform well on several healthcare tasks and can help reduce the burden on the healthcare system. However, the lack of explainability is a major roadblock to their adoption in hospitals. \textit{How can the decision of an ML m
Externí odkaz:
http://arxiv.org/abs/2306.06325
Modern networks run "middleboxes" that offer services ranging from network address translation and server load balancing to firewalls, encryption, and compression. In an industry trend known as Network Functions Virtualization (NFV), these middleboxe
Externí odkaz:
http://arxiv.org/abs/1802.09118
We study the recently introduced problem of finding dense common subgraphs: Given a sequence of graphs that share the same vertex set, the goal is to find a subset of vertices $S$ that maximizes some aggregate measure of the density of the subgraphs
Externí odkaz:
http://arxiv.org/abs/1802.06361
Akademický článek
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We study the Target Set Selection (TSS) problem introduced by Kempe, Kleinberg, and Tardos (2003). This problem models the propagation of influence in a network, in a sequence of rounds. A set of nodes is made "active" initially. In each subsequent r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff55a6911d491656a9a6a966e69eb7d5
Akademický článek
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Publikováno v:
Algorithmic Game Theory (9783642046445); 2009, p159-170, 12p
Publikováno v:
Auctions, Market Mechanisms & Their Applications; 2012, p31-32, 2p