| Preserving statistical validity in adaptive data analysis C Dwork, V Feldman, M Hardt, T Pitassi, O Reingold, AL Roth Proceedings of the forty-seventh annual ACM symposium on Theory of computing …, 2015 | 238 | 2015 |
| Cognitive computing building block: A versatile and efficient digital neuron model for neurosynaptic cores AS Cassidy, P Merolla, JV Arthur, SK Esser, B Jackson, R Alvarez-Icaza, ... The 2013 International Joint Conference on Neural Networks (IJCNN), 1-10, 2013 | 237 | 2013 |
| The reusable holdout: Preserving validity in adaptive data analysis C Dwork, V Feldman, M Hardt, T Pitassi, O Reingold, A Roth Science 349 (6248), 636-638, 2015 | 231 | 2015 |
| On agnostic learning of parities, monomials, and halfspaces V Feldman, P Gopalan, S Khot, AK Ponnuswami SIAM J. Comput 39 (2), 606-645, 2009 | 211* | 2009 |
| Statistical algorithms and a lower bound for detecting planted cliques V Feldman, E Grigorescu, L Reyzin, S Vempala, Y Xiao Journal of the ACM (JACM), 2017, 655-664, 2013 | 164* | 2013 |
| Generalization in adaptive data analysis and holdout reuse C Dwork, V Feldman, M Hardt, T Pitassi, O Reingold, A Roth Advances in Neural Information Processing Systems, 2350-2358, 2015 | 150 | 2015 |
| Agnostic learning of monomials by halfspaces is hard V Feldman, V Guruswami, P Raghavendra, Y Wu SIAM Journal on Computing 41 (6), 1558-1590, 2012 | 122 | 2012 |
| On the complexity of random satisfiability problems with planted solutions V Feldman, W Perkins, S Vempala SIAM Journal on Computing 47 (4), 1294-1338, 2018 | 91 | 2018 |
| On using extended statistical queries to avoid membership queries NH Bshouty, V Feldman The Journal of Machine Learning Research 2, 359-395, 2002 | 86 | 2002 |
| The complexity of properly learning simple concept classes M Alekhnovich, M Braverman, V Feldman, AR Klivans, T Pitassi Journal of Computer and System Sciences 74 (1), 16-34, 2008 | 84* | 2008 |
| Sealed calls in Java packages A Zaks, V Feldman, N Aizikowitz ACM SIGPLAN Notices 35 (10), 83-92, 2000 | 79* | 2000 |
| Evolvability from learning algorithms V Feldman Proceedings of the fortieth annual ACM symposium on Theory of computing, 619-628, 2008 | 69 | 2008 |
| A complete characterization of statistical query learning with applications to evolvability V Feldman Journal of Computer and System Sciences 78 (5), 1444-1459, 2012 | 64 | 2012 |
| Amplification by shuffling: From local to central differential privacy via anonymity Ú Erlingsson, V Feldman, I Mironov, A Raghunathan, K Talwar, ... Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete …, 2019 | 62 | 2019 |
| Sorting and selection with imprecise comparisons M Ajtai, V Feldman, A Hassidim, J Nelson International Colloquium on Automata, Languages, and Programming, 37-48, 2009 | 59* | 2009 |
| Statistical query algorithms for mean vector estimation and stochastic convex optimization V Feldman, C Guzman, S Vempala Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete …, 2017 | 50* | 2017 |
| Optimal bounds on approximation of submodular and XOS functions by juntas V Feldman, J Vondrak SIAM Journal on Computing 45 (3), 1129-1170, 2016 | 48 | 2016 |
| Hardness of approximate two-level logic minimization and PAC learning with membership queries V Feldman Journal of Computer and System Sciences 75 (1), 13-26, 2009 | 44 | 2009 |
| Privacy-preserving prediction C Dwork, V Feldman arXiv preprint arXiv:1803.10266, 2018 | 40 | 2018 |
| Privacy amplification by iteration V Feldman, I Mironov, K Talwar, A Thakurta 2018 IEEE 59th Annual Symposium on Foundations of Computer Science (FOCS …, 2018 | 39 | 2018 |
Moritz HardtUniversity of California, BerkeleyVerified email at berkeley.edu
