Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals

13 February 2023

Papers citing "Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals"

19 / 19 papers shown

Title
Active Learning of General Halfspaces: Label Queries vs Membership Queries Ilias Diakonikolas D. Kane Mingchen Ma 27 1 0 03 Jan 2025
Reliable Learning of Halfspaces under Gaussian Marginals Ilias Diakonikolas Lisheng Ren Nikos Zarifis 30 0 0 18 Nov 2024
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
Efficient Testable Learning of General Halfspaces with Adversarial Label Noise Ilias Diakonikolas Daniel M. Kane Sihan Liu Nikos Zarifis 36 0 0 30 Aug 2024
Cryptographic Hardness of Score Estimation Min Jae Song 33 0 0 04 Apr 2024
Super Non-singular Decompositions of Polynomials and their Application to Robustly Learning Low-degree PTFs Ilias Diakonikolas Daniel M. Kane Vasilis Kontonis Sihan Liu Nikos Zarifis 20 1 0 31 Mar 2024
Improved Hardness Results for Learning Intersections of Halfspaces Stefan Tiegel 31 3 0 25 Feb 2024
Collaborative Learning with Different Labeling Functions Yuyang Deng Mingda Qiao 48 0 0 16 Feb 2024
Distribution-Specific Auditing For Subgroup Fairness Daniel Hsu Jizhou Huang Brendan Juba 20 0 0 27 Jan 2024
Agnostically Learning Multi-index Models with Queries Ilias Diakonikolas Daniel M. Kane Vasilis Kontonis Christos Tzamos Nikos Zarifis 24 4 0 27 Dec 2023
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
Information-Computation Tradeoffs for Learning Margin Halfspaces with Random Classification Noise Ilias Diakonikolas Jelena Diakonikolas D. Kane Puqian Wang Nikos Zarifis 6 3 0 28 Jun 2023
Robustly Learning a Single Neuron via Sharpness Puqian Wang Nikos Zarifis Ilias Diakonikolas Jelena Diakonikolas 22 9 0 13 Jun 2023
Tester-Learners for Halfspaces: Universal Algorithms Aravind Gollakota Adam R. Klivans Konstantinos Stavropoulos Arsen Vasilyan 37 8 0 19 May 2023
Algorithmic Decorrelation and Planted Clique in Dependent Random Graphs: The Case of Extra Triangles Guy Bresler Chenghao Guo Yury Polyanskiy 39 1 0 17 May 2023
Efficient Testable Learning of Halfspaces with Adversarial Label Noise Ilias Diakonikolas D. Kane Vasilis Kontonis Sihan Liu Nikos Zarifis AAML 50 10 0 09 Mar 2023
Hardness of Agnostically Learning Halfspaces from Worst-Case Lattice Problems Stefan Tiegel 15 15 0 28 Jul 2022