Efficient active learning of sparse halfspaces with arbitrary bounded noise

12 February 2020

Papers citing "Efficient active learning of sparse halfspaces with arbitrary bounded noise"

9 / 9 papers shown

Title
Learning Guarantee of Reward Modeling Using Deep Neural Networks Yuanhang Luo Yeheng Ge Ruijian Han Guohao Shen 34 0 0 10 May 2025
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension Gautam Chandrasekaran Adam R. Klivans Vasilis Kontonis Raghu Meka Konstantinos Stavropoulos 53 1 0 01 Jul 2024
Self-Directed Linear Classification Ilias Diakonikolas Vasilis Kontonis Christos Tzamos Nikos Zarifis 34 4 0 06 Aug 2023
Tester-Learners for Halfspaces: Universal Algorithms Aravind Gollakota Adam R. Klivans Konstantinos Stavropoulos A. Vasilyan 29 8 0 19 May 2023
ReLU Regression with Massart Noise Ilias Diakonikolas Jongho Park Christos Tzamos 56 11 0 10 Sep 2021
Forster Decomposition and Learning Halfspaces with Noise Ilias Diakonikolas D. Kane Christos Tzamos 81 18 0 12 Jul 2021
AdaBoost and robust one-bit compressed sensing Geoffrey Chinot Felix Kuchelmeister Matthias Löffler Sara van de Geer 32 5 0 05 May 2021
Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov noise Chicheng Zhang Yinan Li 19 24 0 10 Feb 2021
Near-Optimal Statistical Query Hardness of Learning Halfspaces with Massart Noise Ilias Diakonikolas D. Kane 13 24 0 17 Dec 2020