ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2102.06247
  4. Cited By
Sample-Optimal PAC Learning of Halfspaces with Malicious Noise
v1v2v3 (latest)

Sample-Optimal PAC Learning of Halfspaces with Malicious Noise

11 February 2021
Jie Shen
ArXiv (abs)PDFHTML

Papers citing "Sample-Optimal PAC Learning of Halfspaces with Malicious Noise"

14 / 14 papers shown
Title
On the Power of Localized Perceptron for Label-Optimal Learning of
  Halfspaces with Adversarial Noise
On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise
Jie Shen
66
11
0
19 Dec 2020
A Polynomial Time Algorithm for Learning Halfspaces with Tsybakov Noise
A Polynomial Time Algorithm for Learning Halfspaces with Tsybakov Noise
Ilias Diakonikolas
D. Kane
Vasilis Kontonis
Christos Tzamos
Nikos Zarifis
49
21
0
04 Oct 2020
Near-Optimal SQ Lower Bounds for Agnostically Learning Halfspaces and
  ReLUs under Gaussian Marginals
Near-Optimal SQ Lower Bounds for Agnostically Learning Halfspaces and ReLUs under Gaussian Marginals
Ilias Diakonikolas
D. Kane
Nikos Zarifis
61
66
0
29 Jun 2020
Attribute-Efficient Learning of Halfspaces with Malicious Noise:
  Near-Optimal Label Complexity and Noise Tolerance
Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance
Jie Shen
Chicheng Zhang
48
15
0
06 Jun 2020
Learning Halfspaces with Massart Noise Under Structured Distributions
Learning Halfspaces with Massart Noise Under Structured Distributions
Ilias Diakonikolas
Vasilis Kontonis
Christos Tzamos
Nikos Zarifis
51
61
0
13 Feb 2020
Efficient active learning of sparse halfspaces with arbitrary bounded
  noise
Efficient active learning of sparse halfspaces with arbitrary bounded noise
Chicheng Zhang
Jie Shen
Pranjal Awasthi
68
44
0
12 Feb 2020
Recent Advances in Algorithmic High-Dimensional Robust Statistics
Recent Advances in Algorithmic High-Dimensional Robust Statistics
Ilias Diakonikolas
D. Kane
OOD
71
183
0
14 Nov 2019
Distribution-Independent PAC Learning of Halfspaces with Massart Noise
Distribution-Independent PAC Learning of Halfspaces with Massart Noise
Ilias Diakonikolas
Themis Gouleakis
Christos Tzamos
85
83
0
24 Jun 2019
Efficient active learning of sparse halfspaces
Efficient active learning of sparse halfspaces
Chicheng Zhang
65
36
0
07 May 2018
Learning Geometric Concepts with Nasty Noise
Learning Geometric Concepts with Nasty Noise
Ilias Diakonikolas
D. Kane
Alistair Stewart
AAML
62
90
0
05 Jul 2017
Agnostic Estimation of Mean and Covariance
Agnostic Estimation of Mean and Covariance
Kevin A. Lai
Anup B. Rao
Santosh Vempala
79
347
0
24 Apr 2016
Robust Estimators in High Dimensions without the Computational
  Intractability
Robust Estimators in High Dimensions without the Computational Intractability
Ilias Diakonikolas
Gautam Kamath
D. Kane
Jingkai Li
Ankur Moitra
Alistair Stewart
73
513
0
21 Apr 2016
A PTAS for Agnostically Learning Halfspaces
A PTAS for Agnostically Learning Halfspaces
Amit Daniely
77
48
0
26 Oct 2014
Active and passive learning of linear separators under log-concave
  distributions
Active and passive learning of linear separators under log-concave distributions
Maria-Florina Balcan
Philip M. Long
83
148
0
06 Nov 2012
1