Robustly Learning a Single Neuron via Sharpness

13 June 2023

Papers citing "Robustly Learning a Single Neuron via Sharpness"

7 / 7 papers shown

Title
Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees Gautam Chandrasekaran Adam R. Klivans Lin Lin Lee Konstantinos Stavropoulos OOD 40 0 0 22 Feb 2025
Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise Shuyao Li Sushrut Karmalkar Ilias Diakonikolas Jelena Diakonikolas OOD 49 0 0 11 Nov 2024
Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models Puqian Wang Nikos Zarifis Ilias Diakonikolas Jelena Diakonikolas 42 1 0 08 Nov 2024
Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions Ilias Diakonikolas Sushrut Karmalkar Jongho Park Christos Tzamos 26 1 0 20 Sep 2023
Efficiently Learning One-Hidden-Layer ReLU Networks via Schur Polynomials Ilias Diakonikolas D. Kane 32 4 0 24 Jul 2023
Magnitude and Angle Dynamics in Training Single ReLU Neurons Sangmin Lee Byeongsu Sim Jong Chul Ye MLT 96 6 0 27 Sep 2022
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 139 1,201 0 16 Aug 2016