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On the Power of Localized Perceptron for Label-Optimal Learning of
  Halfspaces with Adversarial Noise
v1v2v3 (latest)

On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise

International Conference on Machine Learning (ICML), 2020
19 December 2020
Jie Shen
ArXiv (abs)PDFHTML

Papers citing "On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise"

7 / 7 papers shown
Attribute-Efficient PAC Learning of Sparse Halfspaces with Constant Malicious Noise Rate
Attribute-Efficient PAC Learning of Sparse Halfspaces with Constant Malicious Noise Rate
Shiwei Zeng
Jie Shen
183
0
0
27 May 2025
Active Learning of General Halfspaces: Label Queries vs Membership Queries
Active Learning of General Halfspaces: Label Queries vs Membership QueriesNeural Information Processing Systems (NeurIPS), 2024
Ilias Diakonikolas
D. Kane
Mingchen Ma
227
3
0
03 Jan 2025
On the Convergence of Loss and Uncertainty-based Active Learning
  Algorithms
On the Convergence of Loss and Uncertainty-based Active Learning Algorithms
Daniel Haimovich
Dima Karamshuk
Fridolin Linder
Niek Tax
Milan Vojnovic
338
3
0
21 Dec 2023
Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold
  Functions with Nasty Noise
Attribute-Efficient PAC Learning of Low-Degree Polynomial Threshold Functions with Nasty NoiseInternational Conference on Machine Learning (ICML), 2023
Shiwei Zeng
Jie Shen
380
1
0
01 Jun 2023
Semi-verified PAC Learning from the Crowd
Semi-verified PAC Learning from the CrowdInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Shiwei Zeng
Jie Shen
324
4
0
13 Jun 2021
Sample-Optimal PAC Learning of Halfspaces with Malicious Noise
Sample-Optimal PAC Learning of Halfspaces with Malicious NoiseInternational Conference on Machine Learning (ICML), 2021
Jie Shen
372
14
0
11 Feb 2021
Efficient PAC Learning from the Crowd with Pairwise Comparisons
Efficient PAC Learning from the Crowd with Pairwise ComparisonsInternational Conference on Machine Learning (ICML), 2020
Shiwei Zeng
Jie Shen
547
8
0
02 Nov 2020
1
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