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Nearly Tight Bounds for Robust Proper Learning of Halfspaces with a
  Margin

Nearly Tight Bounds for Robust Proper Learning of Halfspaces with a Margin

29 August 2019
Ilias Diakonikolas
D. Kane
Pasin Manurangsi
ArXiv (abs)PDFHTML

Papers citing "Nearly Tight Bounds for Robust Proper Learning of Halfspaces with a Margin"

14 / 14 papers shown
Title
Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random
Gautam Chandrasekaran
Vasilis Kontonis
Konstantinos Stavropoulos
Kevin Tian
146
2
0
20 Jan 2025
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension
Smoothed Analysis for Learning Concepts with Low Intrinsic Dimension
Gautam Chandrasekaran
Adam R. Klivans
Vasilis Kontonis
Raghu Meka
Konstantinos Stavropoulos
117
4
0
01 Jul 2024
Byzantine-Robust Federated Learning with Optimal Statistical Rates and
  Privacy Guarantees
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees
Banghua Zhu
Lun Wang
Qi Pang
Shuai Wang
Jiantao Jiao
Basel Alomair
Michael I. Jordan
FedML
179
30
0
24 May 2022
Learning and Certification under Instance-targeted Poisoning
Learning and Certification under Instance-targeted Poisoning
Ji Gao
Amin Karbasi
Mohammad Mahmoody
AAML
60
15
0
18 May 2021
Robust and Private Learning of Halfspaces
Robust and Private Learning of Halfspaces
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
Thao Nguyen
86
12
0
30 Nov 2020
Tight Hardness Results for Training Depth-2 ReLU Networks
Tight Hardness Results for Training Depth-2 ReLU Networks
Surbhi Goel
Adam R. Klivans
Pasin Manurangsi
Daniel Reichman
72
41
0
27 Nov 2020
Differentially Private Clustering: Tight Approximation Ratios
Differentially Private Clustering: Tight Approximation Ratios
Badih Ghazi
Ravi Kumar
Pasin Manurangsi
86
54
0
18 Aug 2020
The Complexity of Adversarially Robust Proper Learning of Halfspaces
  with Agnostic Noise
The Complexity of Adversarially Robust Proper Learning of Halfspaces with Agnostic Noise
Ilias Diakonikolas
D. Kane
Pasin Manurangsi
74
21
0
30 Jul 2020
Calibrated Surrogate Losses for Adversarially Robust Classification
Calibrated Surrogate Losses for Adversarially Robust Classification
Han Bao
Clayton Scott
Masashi Sugiyama
78
46
0
28 May 2020
Approximation Schemes for ReLU Regression
Approximation Schemes for ReLU Regression
Ilias Diakonikolas
Surbhi Goel
Sushrut Karmalkar
Adam R. Klivans
Mahdi Soltanolkotabi
97
51
0
26 May 2020
Efficiently Learning Adversarially Robust Halfspaces with Noise
Efficiently Learning Adversarially Robust Halfspaces with Noise
Omar Montasser
Surbhi Goel
Ilias Diakonikolas
Nathan Srebro
89
33
0
15 May 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
95
44
0
12 Feb 2020
Learning Strategy-Aware Linear Classifiers
Learning Strategy-Aware Linear Classifiers
Yiling Chen
Yang Liu
Chara Podimata
78
10
0
10 Nov 2019
Generalized Resilience and Robust Statistics
Generalized Resilience and Robust Statistics
Banghua Zhu
Jiantao Jiao
Jacob Steinhardt
92
45
0
19 Sep 2019
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