Fiat / ACM Press / Oxford University Press / Microsoft / /
Country
Sudan / United States / / /
IndustryTerm
online auctions / notable applications / monotone algorithms / online variant / near-optimal solutions / data mining / Near-optimal online auctions / approximation algorithms / privacy-preserving algorithms / truthful algorithms / improved regret bounds using this solution / well accommodating nonquasilinear utilities / natural approximation algorithms / e - commerce / potentially provide interesting privacy-preserving algorithms / /
Organization
Bureau of the Census / Society for Industrial and Applied Mathematics / Oxford University / IEEE Computer Society / /
Person
E. Kushilevitz / K. Nissim / F. T. Leighton / R. McGrew / J. D. Hartline / A. Mas-Colell / Weak / Udi Wieder / A. Flaxman / Jason Hartline / A. Blum / V / A. Blum / B. Preneel / V / Differential Privacy / R. D. Kleinberg / A. Wright / C. Dwork / S. Halevi / R. Krauthgamer / K. Talwar / M. Manasse / T. Rabin / A. Smith / F. McSherry / A. V. Goldberg / S. Raskhodnikova / /
Position
Archer / editor / General / player / single player / auctioneer / /
ProgrammingLanguage
DC / /
ProvinceOrState
New York / /
PublishedMedium
Games and Economic Behavior / Theory of Computing / Lecture Notes in Computer Science / /
Technology
Adam / finding approximation algorithms / monotone algorithms / privacy-preserving algorithms / natural approximation algorithms / machine learning / one algorithm / Mobile Computing / approximation algorithms / data mining / /
Mechanism Design via Differential Privacy Frank McSherry Microsoft Research Silicon Valley Campus [removed]