| Graph nonisomorphism has subexponential size proofs unless the polynomial-time hierarchy collapses AR Klivans, D Van Melkebeek SIAM Journal on Computing 31 (5), 1501-1526, 2002 | 269 | 2002 |
| Agnostically learning halfspaces AT Kalai, AR Klivans, Y Mansour, RA Servedio SIAM Journal on Computing 37 (6), 1777-1805, 2008 | 265 | 2008 |
| Learning DNF in time 2O (n1/3) AR Klivans, RA Servedio Journal of Computer and System Sciences 68 (2), 303-318, 2004 | 215 | 2004 |
| Randomness efficient identity testing of multivariate polynomials AR Klivans, D Spielman Proceedings of the thirty-third annual ACM symposium on Theory of computing …, 2001 | 202 | 2001 |
| Learning intersections and thresholds of halfspaces AR Klivans, R O'Donnell, RA Servedio Journal of Computer and System Sciences 68 (4), 808-840, 2004 | 187 | 2004 |
| Cryptographic hardness for learning intersections of halfspaces AR Klivans, AA Sherstov Journal of Computer and System Sciences 75 (1), 2-12, 2009 | 154 | 2009 |
| Reliably learning the relu in polynomial time S Goel, V Kanade, A Klivans, J Thaler Conference on Learning Theory, 1004-1042, 2017 | 90 | 2017 |
| Efficient algorithms for outlier-robust regression A Klivans, PK Kothari, R Meka Conference On Learning Theory, 1420-1430, 2018 | 86 | 2018 |
| Learning Halfspaces with Malicious Noise. AR Klivans, PM Long, RA Servedio Journal of Machine Learning Research 10 (12), 2009 | 85 | 2009 |
| Learning geometric concepts via Gaussian surface area AR Klivans, R O'Donnell, RA Servedio 2008 49th Annual IEEE Symposium on Foundations of Computer Science, 541-550, 2008 | 82 | 2008 |
| List-decoding Reed-Muller codes over small fields P Gopalan, AR Klivans, D Zuckerman Proceedings of the fortieth annual ACM symposium on Theory of computing, 265-274, 2008 | 72 | 2008 |
| Learnability beyond AC0 JC Jackson, AR Klivans, RA Servedio Proceedings of the thiry-fourth annual ACM symposium on Theory of computing …, 2002 | 69 | 2002 |
| An FPTAS for# knapsack and related counting problems P Gopalan, A Klivans, R Meka, D Štefankovic, S Vempala, E Vigoda 2011 IEEE 52nd Annual Symposium on Foundations of Computer Science, 817-826, 2011 | 65 | 2011 |
| Learning neural networks with two nonlinear layers in polynomial time S Goel, AR Klivans Conference on Learning Theory, 1470-1499, 2019 | 64* | 2019 |
| Learning graphical models using multiplicative weights A Klivans, R Meka 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS …, 2017 | 61 | 2017 |
| Hyperparameter optimization: A spectral approach E Hazan, A Klivans, Y Yuan arXiv preprint arXiv:1706.00764, 2017 | 61 | 2017 |
| Learning restricted models of arithmetic circuits A Klivans, A Shpilka Theory of computing 2 (1), 185-206, 2006 | 60* | 2006 |
| Boosting and hard-core sets AR Klivans, RA Servedio 40th Annual Symposium on Foundations of Computer Science (Cat. No. 99CB37039 …, 1999 | 60 | 1999 |
| Toward Attribute Efficient Learning of Decision Lists and Parities. AR Klivans, RA Servedio, D Ron Journal of Machine Learning Research 7 (4), 2006 | 59 | 2006 |
| Agnostically learning decision trees P Gopalan, AT Kalai, AR Klivans Proceedings of the fortieth annual ACM symposium on Theory of computing, 527-536, 2008 | 56 | 2008 |
