| Equality of opportunity in supervised learning M Hardt, E Price, N Srebro Advances in neural information processing systems, 3315-3323, 2016 | 1295 | 2016 |
| 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 | 357 | 2012 |
| Compressed sensing using generative models A Bora, A Jalal, E Price, AG Dimakis arXiv preprint arXiv:1703.03208, 2017 | 335 | 2017 |
| 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 | 304 | 2012 |
| 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 | 178 | 2010 |
| The noisy power method: A meta algorithm with applications M Hardt, E Price Advances in Neural Information Processing Systems 27, 2861-2869, 2014 | 132 | 2014 |
| Adversarial examples from computational constraints S Bubeck, YT Lee, E Price, I Razenshteyn International Conference on Machine Learning, 831-840, 2019 | 109* | 2019 |
| Browser-based attacks on Tor TG Abbott, KJ Lai, MR Lieberman, EC Price International Workshop on Privacy Enhancing Technologies, 184-199, 2007 | 102 | 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 | 85 | 2013 |
| AmbientGAN: Generative models from lossy measurements. A Bora, E Price, AG Dimakis ICLR 2 (5), 3, 2018 | 81 | 2018 |
| 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 | 74 | 2011 |
| 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 | 70 | 2015 |
| 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 | 69 | 2018 |
| (Nearly) sample-optimal sparse Fourier transform P Indyk, M Kapralov, E Price Proceedings of the twenty-fifth annual ACM-SIAM symposium on Discrete …, 2014 | 52 | 2014 |
| New constructions of RIP matrices with fast multiplication and fewer rows J Nelson, E Price, M Wootters Proceedings of the twenty-fifth annual ACM-SIAM symposium on Discrete …, 2014 | 49 | 2014 |
| 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 | 46 | 2015 |
| Collision-based testers are optimal for uniformity and closeness I Diakonikolas, T Gouleakis, J Peebles, E Price arXiv preprint arXiv:1611.03579, 2016 | 43 | 2016 |
| K-median clustering, model-based compressive sensing, and sparse recovery for earth mover distance P Indyk, E Price Proceedings of the forty-third annual ACM symposium on Theory of computing …, 2011 | 42 | 2011 |
| 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 | 35* | 2018 |
| Binary embedding: Fundamental limits and fast algorithm X Yi, C Caramanis, E Price International Conference on Machine Learning, 2162-2170, 2015 | 35 | 2015 |
