Learning a Single Neuron with Adversarial Label Noise via Gradient
Descent

Learning a Single Neuron with Adversarial Label Noise via Gradient Descent

17 June 2022

Ilias Diakonikolas

Vasilis Kontonis

Christos Tzamos

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Papers citing "Learning a Single Neuron with Adversarial Label Noise via Gradient Descent"

15 / 15 papers shown

Title
Robustly Learning Monotone Single-Index Models Puqian Wang Nikos Zarifis Ilias Diakonikolas Jelena Diakonikolas 28 0 0 06 Aug 2025
Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees Gautam Chandrasekaran Adam R. Klivans Lin Lin Lee Konstantinos Stavropoulos OOD 105 1 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 99 2 0 11 Nov 2024
Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models Puqian Wang Nikos Zarifis Ilias Diakonikolas Jelena Diakonikolas 104 2 0 08 Nov 2024
Agnostic Active Learning of Single Index Models with Linear Sample Complexity Aarshvi Gajjar Wai Ming Tai Xingyu Xu Chinmay Hegde Yi Li Chris Musco 132 10 0 15 May 2024
Distribution-Independent Regression for Generalized Linear Models with Oblivious Corruptions Ilias Diakonikolas Sushrut Karmalkar Jongho Park Christos Tzamos 151 1 0 20 Sep 2023
Gradient-Based Feature Learning under Structured Data Alireza Mousavi-Hosseini Denny Wu Taiji Suzuki Murat A. Erdogdu MLT 151 23 0 07 Sep 2023
Efficiently Learning One-Hidden-Layer ReLU Networks via Schur Polynomials Ilias Diakonikolas D. Kane 99 5 0 24 Jul 2023
Agnostically Learning Single-Index Models using Omnipredictors Aravind Gollakota Parikshit Gopalan Adam R. Klivans Konstantinos Stavropoulos 82 14 0 18 Jun 2023
Robustly Learning a Single Neuron via Sharpness Puqian Wang Nikos Zarifis Ilias Diakonikolas Jelena Diakonikolas 108 11 0 13 Jun 2023
Finite-Sample Analysis of Learning High-Dimensional Single ReLU Neuron Jingfeng Wu Difan Zou Zixiang Chen Vladimir Braverman Quanquan Gu Sham Kakade 183 8 0 03 Mar 2023
Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals Ilias Diakonikolas D. Kane Lisheng Ren 114 32 0 13 Feb 2023
Active Learning for Single Neuron Models with Lipschitz Non-Linearities Aarshvi Gajjar Chinmay Hegde Christopher Musco 159 12 0 24 Oct 2022
Magnitude and Angle Dynamics in Training Single ReLU Neurons Sangmin Lee Byeongsu Sim Jong Chul Ye MLT 203 6 0 27 Sep 2022
Agnostic Learning of General ReLU Activation Using Gradient Descent Pranjal Awasthi Alex K. Tang Aravindan Vijayaraghavan MLT 102 8 0 04 Aug 2022