| A learning theory approach to noninteractive database privacy A Blum, K Ligett, A Roth Journal of the ACM (JACM) 60 (2), 1-25, 2013 | 919 | 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 | 589 | 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 | 116 | 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 | 110 | 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 | 91 | 2014 |
| Beyond the Nash Equilibrium Barrier. RD Kleinberg, K Ligett, G Piliouras, É Tardos ICS 20, 125-140, 2011 | 85 | 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 | 80 | 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 |
Aaron RothProfessor of Computer Science, University of Pennsylvaniacis.upenn.edu의 이메일 확인됨
