Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Seth Neel"'
Publikováno v:
The Journal of Privacy and Confidentiality, Vol 9, Iss 2 (2019)
Traditional approaches to differential privacy assume a fixed privacy requirement ε for a computation, and attempt to maximize the accuracy of the computation subject to the privacy constraint. As differential privacy is increasingly deployed in pra
Externí odkaz:
https://doaj.org/article/7723d62d6968464c8b36cf44a71c9705
Publikováno v:
ICAIF
We consider a fundamental dynamic allocation problem motivated by the problem of $\textit{securities lending}$ in financial markets, the mechanism underlying the short selling of stocks. A lender would like to distribute a finite number of identical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed718bb7d72e064afb36d316a6df9a70
http://arxiv.org/abs/1912.06202
http://arxiv.org/abs/1912.06202
Publikováno v:
FOCS
We study the power of interactivity in local differential privacy. First, we focus on the difference between fully interactive and sequentially interactive protocols. Sequentially interactive protocols may query users adaptively in sequence, but they
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f4bbb294b2385672e9371ea3e31668b
http://arxiv.org/abs/1904.03564
http://arxiv.org/abs/1904.03564
Publikováno v:
AIES
We study fairness in linear bandit problems. Starting from the notion of meritocratic fairness introduced in~\citeJKMR16, we carry out a more refined analysis of a more general problem, achieving better performance guarantees with fewer modelling ass
Publikováno v:
FOCS
We develop theory for using heuristics to solve computationally hard problems in differential privacy. Heuristic approaches have enjoyed tremendous success in machine learning, for which performance can be empirically evaluated. However, privacy guar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72ab689499af8690a4996bf33dca520e
http://arxiv.org/abs/1811.07765
http://arxiv.org/abs/1811.07765
Autor:
Michael Kearns, Seth Neel, Christopher Jung, Hadi Elzayn, Zachary Schutzman, Shahin Jabbari, Aaron Roth
Publikováno v:
FAT
Settings such as lending and policing can be modeled by a centralized agent allocating a resource (loans or police officers) amongst several groups, in order to maximize some objective (loans given that are repaid or criminals that are apprehended).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3eba85c4607a93f103a5a45ec3345980
http://arxiv.org/abs/1808.10549
http://arxiv.org/abs/1808.10549
Publikováno v:
FAT
Kearns, Neel, Roth, and Wu [ICML 2018] recently proposed a notion of rich subgroup fairness intended to bridge the gap between statistical and individual notions of fairness. Rich subgroup fairness picks a statistical fairness constraint (say, equali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::606441eec4594767516704e33038a6bd
Publikováno v:
Scopus-Elsevier
The Journal of Privacy and Confidentiality, Vol 9, Iss 2 (2019)
The Journal of Privacy and Confidentiality, Vol 9, Iss 2 (2019)
Traditional approaches to differential privacy assume a fixed privacy requirement $\epsilon$ for a computation, and attempt to maximize the accuracy of the computation subject to the privacy constraint. As differential privacy is increasingly deploye
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53e803a5a534d7d8963fedf44b1fff90
Bipartite, periodic, planar graphs known as brane tilings can be associated to a large class of quivers. This paper will explore new algebraic properties of the well-studied del Pezzo 3 quiver and geometric properties of its corresponding brane tilin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2324c4350875de0dfd7f5d9c802509e
Publikováno v:
Journal of Physics A: Mathematical & Theoretical; 11/28/2014, Vol. 47 Issue 47, p1-1, 1p