| Settling the polynomial learnability of mixtures of gaussians A Moitra, G Valiant 2010 IEEE 51st Annual Symposium on Foundations of Computer Science, 93-102, 2010 | 329 | 2010 |
| Estimating the unseen: an n/log (n)-sample estimator for entropy and support size, shown optimal via new CLTs G Valiant, P Valiant Proceedings of the forty-third annual ACM symposium on Theory of computing …, 2011 | 299 | 2011 |
| Learning from untrusted data M Charikar, J Steinhardt, G Valiant Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017 | 227 | 2017 |
| Efficiently learning mixtures of two Gaussians AT Kalai, A Moitra, G Valiant Proceedings of the forty-second ACM symposium on Theory of computing, 553-562, 2010 | 214 | 2010 |
| An automatic inequality prover and instance optimal identity testing G Valiant, P Valiant SIAM Journal on Computing 46 (1), 429-455, 2017 | 181 | 2017 |
| Optimal algorithms for testing closeness of discrete distributions SO Chan, I Diakonikolas, P Valiant, G Valiant Proceedings of the twenty-fifth annual ACM-SIAM symposium on Discrete …, 2014 | 179 | 2014 |
| Learning polynomials with neural networks A Andoni, R Panigrahy, G Valiant, L Zhang International conference on machine learning, 1908-1916, 2014 | 158 | 2014 |
| The power of linear estimators G Valiant, P Valiant 2011 IEEE 52nd Annual Symposium on Foundations of Computer Science, 403-412, 2011 | 153 | 2011 |
| Estimating the unseen: improved estimators for entropy and other properties P Valiant, G Valiant Advances in Neural Information Processing Systems 26, 2013 | 145 | 2013 |
| Making ai forget you: Data deletion in machine learning A Ginart, M Guan, G Valiant, JY Zou Advances in Neural Information Processing Systems 32, 2019 | 106 | 2019 |
| Resilience: A criterion for learning in the presence of arbitrary outliers J Steinhardt, M Charikar, G Valiant arXiv preprint arXiv:1703.04940, 2017 | 103 | 2017 |
| Designing network protocols for good equilibria HL Chen, T Roughgarden, G Valiant SIAM Journal on Computing 39 (5), 1799-1832, 2010 | 98 | 2010 |
| Designing network protocols for good equilibria HL Chen, T Roughgarden, G Valiant SIAM Journal on Computing 39 (5), 1799-1832, 2010 | 98 | 2010 |
| Finding correlations in subquadratic time, with applications to learning parities and juntas G Valiant 2012 IEEE 53rd Annual Symposium on Foundations of Computer Science, 11-20, 2012 | 97 | 2012 |
| Braess's paradox in large random graphs G Valiant, T Roughgarden Random Structures & Algorithms 37 (4), 495-515, 2010 | 89 | 2010 |
| A CLT and tight lower bounds for estimating entropy. G Valiant, P Valiant Electron. Colloquium Comput. Complex. 17, 179, 2010 | 86 | 2010 |
| Finding correlations in subquadratic time, with applications to learning parities and the closest pair problem G Valiant Journal of the ACM (JACM) 62 (2), 1-45, 2015 | 82 | 2015 |
| Testing k-Modal Distributions: Optimal Algorithms via Reductions C Daskalakis, I Diakonikolas, RA Servedio, G Valiant, P Valiant Proceedings of the twenty-fourth annual ACM-SIAM symposium on Discrete …, 2013 | 81 | 2013 |
| Martian subsurface properties and crater formation processes inferred from fresh impact crater geometries ST Stewart, GJ Valiant Meteoritics & Planetary Science 41 (10), 1509-1537, 2006 | 78 | 2006 |
| Memory, communication, and statistical queries J Steinhardt, G Valiant, S Wager Conference on Learning Theory, 1490-1516, 2016 | 71 | 2016 |
