On the computational efficiency of training neural networks R Livni, S Shalev-Shwartz, O Shamir Advances in neural information processing systems 27, 2014 | 535 | 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 | 88 | 2019 |

An algorithm for training polynomial networks R Livni, S Shalev-Shwartz, O Shamir arXiv preprint arXiv:1304.7045, 2013 | 56* | 2013 |

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 | 54 | 2020 |

Vanishing component analysis R Livni, D Lehavi, S Schein, H Nachliely, S Shalev-Shwartz, A Globerson International Conference on Machine Learning, 597-605, 2013 | 45 | 2013 |

Classification with low rank and missing data E Hazan, R Livni, Y Mansour International conference on machine learning, 257-266, 2015 | 40 | 2015 |

SGD generalizes better than GD (and regularization doesn’t help) I Amir, T Koren, R Livni Conference on Learning Theory, 63-92, 2021 | 29 | 2021 |

Prediction with corrupted expert advice I Amir, I Attias, T Koren, Y Mansour, R Livni Advances in Neural Information Processing Systems 33, 14315-14325, 2020 | 29 | 2020 |

Honest compressions and their application to compression schemes R Livni, P Simon Conference on Learning Theory, 77-92, 2013 | 26 | 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 | 24 | 2016 |

Multi-armed bandits with metric movement costs T Koren, R Livni, Y Mansour Advances in Neural Information Processing Systems 30, 2017 | 23 | 2017 |

A simple geometric interpretation of SVM using stochastic adversaries R Livni, K Crammer, A Globerson Artificial Intelligence and Statistics, 722-730, 2012 | 20 | 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 | 19 | 2017 |

Can implicit bias explain generalization? stochastic convex optimization as a case study A Dauber, M Feder, T Koren, R Livni Advances in Neural Information Processing Systems 33, 7743-7753, 2020 | 18 | 2020 |

A limitation of the PAC-Bayes framework R Livni, S Moran Advances in Neural Information Processing Systems 33, 20543-20553, 2020 | 17 | 2020 |

On communication complexity of classification problems DM Kane, R Livni, S Moran, A Yehudayoff Conference on Learning Theory 99, 1903--1943, 2019 | 17 | 2019 |

Agnostic Learning by Refuting PK Kothari, R Livni LIPIcs-Leibniz International Proceedings in Informatics 94, 2018 | 17* | 2018 |

Effective Semisupervised Learning on Manifolds A Globerson, R Livni, S Shalev-Shwartz Proceedings of the 2017 Conference on Learning Theory, 978-1003, 2017 | 17 | 2017 |

Generalize across tasks: Efficient algorithms for linear representation learning B Bullins, E Hazan, A Kalai, R Livni Algorithmic Learning Theory, 235-246, 2019 | 16 | 2019 |

Learning Infinite-Layer Networks: Without the Kernel Trick R Livni, D Carmon, A Globerson International Conference on Machine Learning 70, 2198-2207, 2017 | 16* | 2017 |