On the computational efficiency of training neural networks R Livni, S Shalev-Shwartz, O Shamir arXiv preprint arXiv:1410.1141, 2014 | 447 | 2014 |

Private PAC learning implies finite Littlestone dimension N Alon, R Livni, M Malliaris, S Moran Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing …, 2019 | 63 | 2019 |

An algorithm for training polynomial networks R Livni, S Shalev-Shwartz, O Shamir arXiv preprint arXiv:1304.7045, 2013 | 54* | 2013 |

Vanishing component analysis R Livni, D Lehavi, S Schein, H Nachliely, S Shalev-Shwartz, A Globerson International Conference on Machine Learning, 597-605, 2013 | 37 | 2013 |

Classification with low rank and missing data E Hazan, R Livni, Y Mansour International conference on machine learning, 257-266, 2015 | 34 | 2015 |

An equivalence between private classification and online prediction M Bun, R Livni, S Moran 2020 IEEE 61st Annual Symposium on Foundations of Computer Science (FOCS …, 2020 | 29 | 2020 |

Honest compressions and their application to compression schemes R Livni, P Simon Conference on Learning Theory, 77-92, 2013 | 23 | 2013 |

Online Pricing with Strategic and Patient Buyers M Feldman, T Koren, R Livni, Y Mansour, A Zohar Advances in Neural Information Processing Systems, 3864--3872, 2016 | 21 | 2016 |

Multi-armed bandits with metric movement costs T Koren, R Livni, Y Mansour arXiv preprint arXiv:1710.08997, 2017 | 20 | 2017 |

A simple geometric interpretation of SVM using stochastic adversaries R Livni, K Crammer, A Globerson Artificial Intelligence and Statistics, 722-730, 2012 | 19 | 2012 |

Bandits with Movement Costs and Adaptive Pricing T Koren, R Livni, Y Mansour Proceedings of the 2017 Conference on Learning Theory 65, 1242-1268, 2017 | 17 | 2017 |

Improper deep kernels U Heinemann, R Livni, E Eban, G Elidan, A Globerson Artificial Intelligence and Statistics, 1159-1167, 2016 | 16 | 2016 |

Prediction with corrupted expert advice I Amir, I Attias, T Koren, R Livni, Y Mansour arXiv preprint arXiv:2002.10286, 2020 | 15 | 2020 |

Generalize across tasks: Efficient algorithms for linear representation learning B Bullins, E Hazan, A Kalai, R Livni Algorithmic Learning Theory, 235-246, 2019 | 13 | 2019 |

On communication complexity of classification problems DM Kane, R Livni, S Moran, A Yehudayoff Conference on Learning Theory 99, 1903--1943, 2019 | 13 | 2019 |

Effective Semisupervised Learning on Manifolds A Globerson, R Livni, S Shalev-Shwartz Proceedings of the 2017 Conference on Learning Theory, 978-1003, 2017 | 13 | 2017 |

Learning Infinite-Layer Networks: Without the Kernel Trick R Livni, D Carmon, A Globerson International Conference on Machine Learning 70, 2198-2207, 2017 | 13* | 2017 |

Online Learning with Low Rank Experts E Hazan, T Koren, R Livni, Y Mansour Conference On Learning Theory 49, 1096-1114, 2016 | 13 | 2016 |

Can implicit bias explain generalization? stochastic convex optimization as a case study A Dauber, M Feder, T Koren, R Livni arXiv preprint arXiv:2003.06152, 2020 | 10 | 2020 |

Synthetic data generators: Sequential and private O Bousquet, R Livni, S Moran arXiv preprint arXiv:1902.03468, 2019 | 10* | 2019 |