Random classification noise defeats all convex potential boosters PM Long, RA Servedio Machine learning 78 (3), 287-304, 2010 | 266 | 2010 |

Agnostically learning halfspaces AT Kalai, AR Klivans, Y Mansour, RA Servedio SIAM Journal on Computing 37, 1777, 2008 | 229 | 2008 |

Learning functions of< i> k</i> relevant variables E Mossel, R O'Donnell, RA Servedio Journal of Computer and System Sciences 69 (3), 421-434, 2004 | 222* | 2004 |

On the capacity of secure network coding J Feldman, T Malkin, C Stein, RA Servedio Proc. 42nd Annual Allerton Conference on Communication, Control, and …, 2004 | 216 | 2004 |

Smooth boosting and learning with malicious noise RA Servedio The Journal of Machine Learning Research 4, 633-648, 2003 | 203 | 2003 |

Learning DNF in time AR Klivans, R Servedio Proceedings of the thirty-third annual ACM symposium on Theory of computing …, 2001 | 203* | 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 | 171 | 2004 |

Bounded independence fools halfspaces I Diakonikolas, P Gopalan, R Jaiswal, RA Servedio, E Viola SIAM Journal on Computing 39 (8), 3441-3462, 2010 | 111 | 2010 |

LP decoding corrects a constant fraction of errors J Feldman, T Malkin, RA Servedio, C Stein, MJ Wainwright IEEE Transactions on Information Theory 53 (1), 82-89, 2006 | 111 | 2006 |

Equivalences and separations between quantum and classical learnability RA Servedio, SJ Gortler SIAM Journal on Computing 33 (5), 1067-1092, 2004 | 103* | 2004 |

Learning poisson binomial distributions C Daskalakis, I Diakonikolas, RA Servedio Algorithmica 72 (1), 316-357, 2015 | 97 | 2015 |

Testing halfspaces K Matulef, R O'Donnell, R Rubinfeld, RA Servedio SIAM Journal on Computing 39 (5), 2004-2047, 2010 | 97 | 2010 |

Testing Fourier dimensionality and sparsity P Gopalan, R O'Donnell, RA Servedio, A Shpilka, K Wimmer SIAM Journal on Computing 40 (4), 1075-1100, 2011 | 96 | 2011 |

Testing for concise representations I Diakonikolas, HK Lee, K Matulef, K Onak, R Rubinfeld, RA Servedio, ... 48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07), 549-558, 2007 | 96 | 2007 |

Learning monotone decision trees in polynomial time R O'Donnell, RA Servedio Computational Complexity, 2006. CCC 2006. Twenty-First Annual IEEE …, 2008 | 94* | 2008 |

Boosting and hard-core set construction AR Klivans, RA Servedio Machine Learning 51 (3), 217-238, 2003 | 93* | 2003 |

Learning mixtures of product distributions over discrete domains J Feldman, R O'Donnell, RA Servedio Foundations of Computer Science, 2005. FOCS 2005. 46th Annual IEEE Symposium …, 2005 | 92 | 2005 |

Every decision tree has an influential variable R O'Donnell, M Saks, O Schramm, RA Servedio 46th Annual IEEE Symposium on Foundations of Computer Science (FOCS'05), 31-39, 2005 | 87 | 2005 |

Efficient density estimation via piecewise polynomial approximation SO Chan, I Diakonikolas, RA Servedio, X Sun Proceedings of the forty-sixth annual ACM symposium on Theory of computing …, 2014 | 85 | 2014 |

Pac learning axis-aligned mixtures of gaussians with no separation assumption J Feldman, R Servedio, R O’Donnell Learning Theory, 20-34, 2006 | 78 | 2006 |