Algorithms and sq lower bounds for pac learning one-hidden-layer relu networks I Diakonikolas, DM Kane, V Kontonis, N Zarifis Conference on Learning Theory, 1514-1539, 2020 | 64 | 2020 |

Near-optimal sq lower bounds for agnostically learning halfspaces and relus under gaussian marginals I Diakonikolas, D Kane, N Zarifis Advances in Neural Information Processing Systems 33, 13586-13596, 2020 | 60 | 2020 |

Learning halfspaces with massart noise under structured distributions I Diakonikolas, V Kontonis, C Tzamos, N Zarifis Conference on Learning Theory, 1486-1513, 2020 | 56 | 2020 |

The Optimality of Polynomial Regression for Agnostic Learning under Gaussian Marginals in the SQ Model I Diakonikolas, DM Kane, T Pittas, N Zarifis Conference on Learning Theory, 1552-1584, 2021 | 37* | 2021 |

Non-convex SGD learns halfspaces with adversarial label noise I Diakonikolas, V Kontonis, C Tzamos, N Zarifis Advances in Neural Information Processing Systems 33, 18540-18549, 2020 | 25 | 2020 |

Efficiently learning halfspaces with tsybakov noise I Diakonikolas, DM Kane, V Kontonis, C Tzamos, N Zarifis Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021 | 21* | 2021 |

Learning general halfspaces with general massart noise under the gaussian distribution I Diakonikolas, DM Kane, V Kontonis, C Tzamos, N Zarifis Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing …, 2022 | 20* | 2022 |

Learning online algorithms with distributional advice I Diakonikolas, V Kontonis, C Tzamos, A Vakilian, N Zarifis International Conference on Machine Learning, 2687-2696, 2021 | 18 | 2021 |

Reallocating multiple facilities on the line D Fotakis, L Kavouras, P Kostopanagiotis, P Lazos, S Skoulakis, N Zarifis Theoretical Computer Science 858, 13-34, 2021 | 17 | 2021 |

A polynomial time algorithm for learning halfspaces with tsybakov noise I Diakonikolas, DM Kane, V Kontonis, C Tzamos, N Zarifis arXiv preprint arXiv:2010.01705, 2020 | 14 | 2020 |

Learning a single neuron with adversarial label noise via gradient descent I Diakonikolas, V Kontonis, C Tzamos, N Zarifis Conference on Learning Theory, 4313-4361, 2022 | 12 | 2022 |

Agnostic proper learning of halfspaces under gaussian marginals I Diakonikolas, DM Kane, V Kontonis, C Tzamos, N Zarifis Conference on Learning Theory, 1522-1551, 2021 | 9 | 2021 |

Learning general halfspaces with adversarial label noise via online gradient descent I Diakonikolas, V Kontonis, C Tzamos, N Zarifis International Conference on Machine Learning, 5118-5141, 2022 | 5 | 2022 |

Efficient testable learning of halfspaces with adversarial label noise I Diakonikolas, D Kane, V Kontonis, S Liu, N Zarifis Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |

SQ lower bounds for learning mixtures of separated and bounded covariance gaussians I Diakonikolas, DM Kane, T Pittas, N Zarifis The Thirty Sixth Annual Conference on Learning Theory, 2319-2349, 2023 | 2 | 2023 |

Information-Computation Tradeoffs for Learning Margin Halfspaces with Random Classification Noise I Diakonikolas, J Diakonikolas, DM Kane, P Wang, N Zarifis The Thirty Sixth Annual Conference on Learning Theory, 2211-2239, 2023 | 2 | 2023 |

Robustly Learning a Single Neuron via Sharpness P Wang, N Zarifis, I Diakonikolas, J Diakonikolas arXiv preprint arXiv:2306.07892, 2023 | 2 | 2023 |

Self-directed linear classification I Diakonikolas, V Kontonis, C Tzamos, N Zarifis The Thirty Sixth Annual Conference on Learning Theory, 2919-2947, 2023 | 1 | 2023 |

Near-Optimal Bounds for Learning Gaussian Halfspaces with Random Classification Noise I Diakonikolas, J Diakonikolas, D Kane, P Wang, N Zarifis Advances in Neural Information Processing Systems 36, 2024 | | 2024 |

Agnostically Learning Multi-index Models with Queries I Diakonikolas, DM Kane, V Kontonis, C Tzamos, N Zarifis arXiv preprint arXiv:2312.16616, 2023 | | 2023 |