Katrina Ligett

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Aaron RothProfessor of Computer Science, University of PennsylvaniaPatvirtintas el. paštas cis.upenn.edu
Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoPatvirtintas el. paštas ttic.edu
Zhiwei Steven WuCarnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu
Yahav BechavodPostdoctoral Researcher, Department of Computer and Information Science, University of PennsylvaniaPatvirtintas el. paštas upenn.edu
Rachel CummingsColumbia UniversityPatvirtintas el. paštas columbia.edu
Frank McSherryMaterialize, Inc.Patvirtintas el. paštas materialize.io
Juba ZianiGeorgia Institute of Technology (ISyE)Patvirtintas el. paštas gatech.edu
Adam Tauman KalaiOpenAIPatvirtintas el. paštas openai.com
Don PerovichThayer School of Engineering at Dartmouth CollegePatvirtintas el. paštas dartmouth.edu
Eyal Even-DarFinalPatvirtintas el. paštas final.co.il
Bo WaggonerUniversity of Colorado, BoulderPatvirtintas el. paštas colorado.edu
Kunal TalwarApple IncPatvirtintas el. paštas apple.com
Seth NeelGooglePatvirtintas el. paštas google.com
Siddharth BarmanDepartment of Computer Science and Automation, IIScPatvirtintas el. paštas iisc.ac.in
Yishay MansourTel Aviv UniversityPatvirtintas el. paštas tauex.tau.ac.il
Moritz HardtMax Planck Institute for Intelligent SystemsPatvirtintas el. paštas is.mpg.de
Ori HeffetzCornell University, The Hebrew University of JerusalemPatvirtintas el. paštas cornell.edu
Georgios PiliourasGoogle DeepMind, Singapore University of Technology and DesignPatvirtintas el. paštas google.com
Kobbi NissimDept. of Computer Science (Georgetown)Patvirtintas el. paštas georgetown.edu
Grant SchoenebeckUniversity of MichiganPatvirtintas el. paštas umich.edu

Stebėti

Katrina Ligett

Hebrew University

Patvirtintas el. paštas mail.huji.ac.il


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
A learning theory approach to noninteractive database privacy A Blum, K Ligett, A Roth Journal of the ACM (JACM) 60 (2), 1-25, 2013	918	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	588	2012
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	307	2010
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	255	2002
Penalizing unfairness in binary classification Y Bechavod, K Ligett arXiv preprint arXiv:1707.00044, 2018	224*	2018
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	199	2008
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	196*	2010
Playing games with approximation algorithms SM Kakade, AT Kalai, K Ligett Proceedings of the thirty-ninth annual ACM symposium on Theory of computing …, 2007	133	2007
Privacy and data-based research O Heffetz, K Ligett Journal of Economic Perspectives 28 (2), 75-98, 2014	120	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	111	2019
Compressing rectilinear pictures and minimizing access control lists DA Applegate, G Calinescu, DS Johnson, H Karloff, K Ligett, J Wang SODA 7, 1066-1075, 2007	111	2007
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	109	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	101	2013
Buying private data without verification A Ghosh, K Ligett, A Roth, G Schoenebeck Proceedings of the fifteenth ACM conference on Economics and computation …, 2014	90	2014
Beyond the Nash Equilibrium Barrier. RD Kleinberg, K Ligett, G Piliouras, É Tardos ICS 20, 125-140, 2011	83	2011
Differential privacy with compression S Zhou, K Ligett, L Wasserman 2009 IEEE International Symposium on Information Theory, 2718-2722, 2009	83	2009
Truthful Linear Regression R Cummings, S Ioannidis, K Ligett Conference on Learning Theory 40, 2015	79	2015
Gaming helps! learning from strategic interactions in natural dynamics Y Bechavod, K Ligett, S Wu, J Ziani International Conference on Artificial Intelligence and Statistics, 1234-1242, 2021	78*	2021
Adaptive learning with robust generalization guarantees R Cummings, K Ligett, K Nissim, A Roth, ZS Wu Conference on Learning Theory, 772-814, 2016	71	2016
Equal opportunity in online classification with partial feedback Y Bechavod, K Ligett, A Roth, B Waggoner, ZS Wu Neural and Information Processing Systems (NeurIPS) 32, 2019	69	2019

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