Matrix completion with noise EJ Candes, Y Plan Proceedings of the IEEE 98 (6), 925-936, 2010 | 1512 | 2010 |

Near-ideal model selection by ℓ1 minimization EJ Candès, Y Plan The Annals of Statistics 37 (5A), 2145-2177, 2009 | 557 | 2009 |

A probabilistic and RIPless theory of compressed sensing EJ Candes, Y Plan arXiv preprint arXiv:1011.3854, 2010 | 551 | 2010 |

Tight oracle inequalities for low-rank matrix recovery from a minimal number of noisy random measurements EJ Candes, Y Plan IEEE Transactions on Information Theory 57 (4), 2342-2359, 2011 | 536 | 2011 |

Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach Y Plan, R Vershynin IEEE Transactions on Information Theory 59 (1), 482-494, 2012 | 386 | 2012 |

One‐Bit Compressed Sensing by Linear Programming Y Plan, R Vershynin Communications on Pure and Applied Mathematics 66 (8), 1275-1297, 2013 | 365 | 2013 |

1-bit matrix completion MA Davenport, Y Plan, E Van Den Berg, M Wootters Information and Inference: A Journal of the IMA 3 (3), 189-223, 2014 | 280 | 2014 |

Global testing under sparse alternatives: ANOVA, multiple comparisons and the higher criticism E Arias-Castro, EJ Candès, Y Plan The Annals of Statistics 39 (5), 2533-2556, 2011 | 168 | 2011 |

The generalized lasso with non-linear observations Y Plan, R Vershynin IEEE Transactions on information theory 62 (3), 1528-1537, 2016 | 131 | 2016 |

One-bit compressed sensing with non-Gaussian measurements A Ai, A Lapanowski, Y Plan, R Vershynin Linear Algebra and its Applications 441, 222-239, 2014 | 128 | 2014 |

High-dimensional estimation with geometric constraints Y Plan, R Vershynin, E Yudovina Information and Inference: A Journal of the IMA 6 (1), 1-40, 2017 | 112 | 2017 |

Dimension reduction by random hyperplane tessellations Y Plan, R Vershynin Discrete & Computational Geometry 51 (2), 438-461, 2014 | 111 | 2014 |

Exponential decay of reconstruction error from binary measurements of sparse signals RG Baraniuk, S Foucart, D Needell, Y Plan, M Wootters IEEE Transactions on Information Theory 63 (6), 3368-3385, 2017 | 94 | 2017 |

A simple tool for bounding the deviation of random matrices on geometric sets C Liaw, A Mehrabian, Y Plan, R Vershynin Geometric aspects of functional analysis, 277-299, 2017 | 40 | 2017 |

Uniqueness conditions for low-rank matrix recovery YC Eldar, D Needell, Y Plan Applied and Computational Harmonic Analysis 33 (2), 309-314, 2012 | 38 | 2012 |

Tight oracle bounds for low-rank matrix recovery from a minimal number of random measurements EJ Candes, Y Plan arXiv preprint arXiv:1001.0339, 2010 | 34 | 2010 |

Average-case hardness of RIP certification T Wang, Q Berthet, Y Plan Advances in Neural Information Processing Systems, 3819-3827, 2016 | 29 | 2016 |

One-bit compressive sensing of dictionary-sparse signals R Baraniuk, S Foucart, D Needell, Y Plan, M Wootters Information and Inference: A Journal of the IMA 7 (1), 83-104, 2018 | 25 | 2018 |

Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes H Ashtiani, S Ben-David, N Harvey, C Liaw, A Mehrabian, Y Plan Advances in Neural Information Processing Systems, 3412-3421, 2018 | 23 | 2018 |

Tight analyses for non-smooth stochastic gradient descent NJA Harvey, C Liaw, Y Plan, S Randhawa Conference on Learning Theory, 1579-1613, 2019 | 20 | 2019 |