Equality of opportunity in supervised learning M Hardt, E Price, N Srebro Advances in neural information processing systems 29, 2016 | 4739 | 2016 |

Compressed sensing using generative models A Bora, A Jalal, E Price, AG Dimakis International conference on machine learning, 537-546, 2017 | 894 | 2017 |

Simple and practical algorithm for sparse Fourier transform H Hassanieh, P Indyk, D Katabi, E Price Proceedings of the twenty-third annual ACM-SIAM symposium on Discrete …, 2012 | 465 | 2012 |

Nearly optimal sparse Fourier transform H Hassanieh, P Indyk, D Katabi, E Price STOC '12 Proceedings of the forty-fourth annual ACM symposium on Theory of …, 2012 | 388 | 2012 |

Adversarial examples from computational constraints S Bubeck, YT Lee, E Price, I Razenshteyn International Conference on Machine Learning, 831-840, 2019 | 247* | 2019 |

Robust compressed sensing mri with deep generative priors A Jalal, M Arvinte, G Daras, E Price, AG Dimakis, J Tamir Advances in Neural Information Processing Systems 34, 14938-14954, 2021 | 238 | 2021 |

AmbientGAN: Generative models from lossy measurements A Bora, E Price, AG Dimakis International conference on learning representations, 2018 | 232 | 2018 |

The noisy power method: A meta algorithm with applications M Hardt, E Price Advances in neural information processing systems 27, 2014 | 217 | 2014 |

Lower bounds for sparse recovery K Do Ba, P Indyk, E Price, DP Woodruff Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete …, 2010 | 217 | 2010 |

Compressed sensing with deep image prior and learned regularization D Van Veen, A Jalal, M Soltanolkotabi, E Price, S Vishwanath, ... arXiv preprint arXiv:1806.06438, 2018 | 206 | 2018 |

Tight bounds for learning a mixture of two gaussians M Hardt, E Price Proceedings of the forty-seventh annual ACM symposium on Theory of computing …, 2015 | 138* | 2015 |

Browser-based attacks on Tor TG Abbott, KJ Lai, MR Lieberman, EC Price International Workshop on Privacy Enhancing Technologies, 184-199, 2007 | 135 | 2007 |

Sample-optimal average-case sparse fourier transform in two dimensions B Ghazi, H Hassanieh, P Indyk, D Katabi, E Price, L Shi 2013 51st Annual Allerton Conference on Communication, Control, and …, 2013 | 114 | 2013 |

On the power of adaptivity in sparse recovery P Indyk, E Price, DP Woodruff 2011 IEEE 52nd Annual Symposium on Foundations of Computer Science, 285-294, 2011 | 101 | 2011 |

SCRAM: Scalable collision-avoiding role assignment with minimal-makespan for formational positioning P MacAlpine, E Price, P Stone Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 74 | 2015 |

Collision-based testers are optimal for uniformity and closeness I Diakonikolas, T Gouleakis, J Peebles, E Price Chicago Journal of Theoretical Computer Science 2019, 2016 | 69 | 2016 |

(Nearly) sample-optimal sparse Fourier transform P Indyk, M Kapralov, E Price Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete …, 2014 | 68 | 2014 |

Active regression via linear-sample sparsification X Chen, E Price Conference on Learning Theory, 663-695, 2019 | 64* | 2019 |

Trace reconstruction revisited A McGregor, E Price, S Vorotnikova Algorithms-ESA 2014: 22th Annual European Symposium, Wroclaw, Poland …, 2014 | 60 | 2014 |

Sample-optimal identity testing with high probability I Diakonikolas, T Gouleakis, J Peebles, E Price 45th International Colloquium on Automata, Languages, and Programming (ICALP …, 2018 | 52 | 2018 |