The power of depth for feedforward neural networks R Eldan, O Shamir Conference on learning theory, 907-940, 2016 | 859 | 2016 |

Sparks of artificial general intelligence: Early experiments with gpt-4 S Bubeck, V Chandrasekaran, R Eldan, J Gehrke, E Horvitz, E Kamar, ... arXiv preprint arXiv:2303.12712, 2023 | 613 | 2023 |

Kernel-based methods for bandit convex optimization S Bubeck, YT Lee, R Eldan Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017 | 156 | 2017 |

Sampling from a log-concave distribution with projected Langevin Monte Carlo S Bubeck, R Eldan, J Lehec Discrete & Computational Geometry 59, 757-783, 2018 | 133 | 2018 |

Testing for high‐dimensional geometry in random graphs S Bubeck, J Ding, R Eldan, MZ Rácz Random Structures & Algorithms 49 (3), 503-532, 2016 | 132 | 2016 |

Thin shell implies spectral gap up to polylog via a stochastic localization scheme R Eldan Geometric and Functional Analysis 23 (2), 532-569, 2013 | 122 | 2013 |

A two-sided estimate for the Gaussian noise stability deficit R Eldan Inventiones mathematicae 201, 561-624, 2015 | 82 | 2015 |

Gaussian-width gradient complexity, reverse log-Sobolev inequalities and nonlinear large deviations R Eldan Geometric and Functional Analysis 28 (6), 1548-1596, 2018 | 76 | 2018 |

Multi-scale exploration of convex functions and bandit convex optimization S Bubeck, R Eldan Conference on Learning Theory, 583-589, 2016 | 76 | 2016 |

Approximately gaussian marginals and the hyperplane conjecture R Eldan, B Klartag Concentration, functional inequalities and isoperimetry 545, 55-68, 2011 | 61 | 2011 |

The entropic barrier: a simple and optimal universal self-concordant barrier S Bubeck, R Eldan arXiv preprint arXiv:1412.1587, 2014 | 58 | 2014 |

Sparks of artificial general intelligence: early experiments with GPT-4. arXiv S Bubeck, V Chandrasekaran, R Eldan, J Gehrke, E Horvitz, E Kamar, ... | 46 | 2023 |

Efficient algorithms for discrepancy minimization in convex sets R Eldan, M Singh Random Structures & Algorithms 53 (2), 289-307, 2018 | 43 | 2018 |

Finite-time analysis of projected Langevin Monte Carlo S Bubeck, R Eldan, J Lehec Advances in Neural Information Processing Systems 28, 2015 | 43 | 2015 |

Network size and size of the weights in memorization with two-layers neural networks S Bubeck, R Eldan, YT Lee, D Mikulincer Advances in Neural Information Processing Systems 33, 4977-4986, 2020 | 39 | 2020 |

A spectral condition for spectral gap: fast mixing in high-temperature Ising models R Eldan, F Koehler, O Zeitouni Probability theory and related fields 182 (3-4), 1035-1051, 2022 | 38 | 2022 |

Stability of the logarithmic Sobolev inequality via the Föllmer process R Eldan, J Lehec, Y Shenfeld | 37 | 2020 |

Volumetric properties of the convex hull of an -dimensional Brownian motion R Eldan | 37 | 2014 |

Pointwise estimates for marginals of convex bodies R Eldan, B Klartag Journal of Functional Analysis 254 (8), 2275-2293, 2008 | 37 | 2008 |

Bandit smooth convex optimization: Improving the bias-variance tradeoff O Dekel, R Eldan, T Koren Advances in Neural Information Processing Systems 28, 2015 | 35 | 2015 |