Katrina Ligett
Katrina Ligett
Dirección de correo verificada de mail.huji.ac.il
Citado por
Citado por
A learning theory approach to noninteractive database privacy
A Blum, K Ligett, A Roth
Journal of the ACM (JACM) 60 (2), 1-25, 2013
A simple and practical algorithm for differentially private data release
M Hardt, K Ligett, F McSherry
NIPS'12: Proceedings of the 25th International Conference on Neural …, 2012
Aerial observations of the evolution of ice surface conditions during summer
DK Perovich, WB Tucker III, KA Ligett
Journal of Geophysical Research 107 (C10), 8048, 2002
Differentially private combinatorial optimization
A Gupta, K Ligett, F McSherry, A Roth, K Talwar
Proceedings of the twenty-first annual ACM-SIAM symposium on Discrete …, 2010
Routing without regret: On convergence to Nash equilibria of regret-minimizing algorithms in routing games
A Blum, E Even-Dar, K Ligett
Theory of Computing 6 (1), 179-199, 2010
Regret minimization and the price of total anarchy
A Blum, MT Hajiaghayi, K Ligett, A Roth
Proceedings of the fortieth annual ACM symposium on Theory of computing, 373-382, 2008
Compressing rectilinear pictures and minimizing access control lists
DA Applegate, G Calinescu, DS Johnson, H Karloff, K Ligett, J Wang
Society for Industrial and Applied Mathematics, 2007
Playing games with approximation algorithms
SM Kakade, AT Kalai, K Ligett
SIAM Journal on Computing 39 (3), 1088-1106, 2009
Privacy and data-based research
O Heffetz, K Ligett
Journal of Economic Perspectives 28 (2), 75-98, 2014
Penalizing unfairness in binary classification
Y Bechavod, K Ligett
arXiv preprint arXiv:1707.00044, 2017
Take it or leave it: Running a survey when privacy comes at a cost
K Ligett, A Roth
International workshop on internet and network economics, 378-391, 2012
A Tale of Two Metrics: Simultaneous Bounds on Competitiveness and Regret.
L Andrew, S Barman, K Ligett, M Lin, A Meyerson, A Roytman, A Wierman
Conference on Learning Theory 30, 741-763, 2013
Differential privacy with compression
S Zhou, K Ligett, L Wasserman
2009 IEEE International Symposium on Information Theory, 2718-2722, 2009
Beyond the Nash Equilibrium Barrier.
RD Kleinberg, K Ligett, G Piliouras, É Tardos
ICS, 125-140, 2011
Adaptive learning with robust generalization guarantees
R Cummings, K Ligett, K Nissim, A Roth, ZS Wu
Conference on Learning Theory, 772-814, 2016
Buying private data without verification
A Ghosh, K Ligett, A Roth, G Schoenebeck
Proceedings of the fifteenth ACM conference on Economics and computation …, 2014
Accuracy first: Selecting a differential privacy level for accuracy-constrained ERM
K Ligett, S Neel, A Roth, B Waggoner, S Wu
Journal of Privacy and Confidentiality 9 (2), 2019
Truthful Linear Regression
R Cummings, S Ioannidis, K Ligett
Conference on Learning Theory 40, 2015
Privacy and coordination: Computing on databases with endogenous participation
A Ghosh, K Ligett
Proceedings of the fourteenth ACM conference on Electronic commerce, 543-560, 2013
Accuracy for sale: Aggregating data with a variance constraint
R Cummings, K Ligett, A Roth, ZS Wu, J Ziani
Proceedings of the 2015 conference on innovations in theoretical computer …, 2015
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20