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Learning Halfspaces with Massart Noise Under Structured Distributions

Learning Halfspaces with Massart Noise Under Structured Distributions

13 February 2020
Ilias Diakonikolas
Vasilis Kontonis
Christos Tzamos
Nikos Zarifis
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Papers citing "Learning Halfspaces with Massart Noise Under Structured Distributions"

17 / 17 papers shown
Title
Learning Noisy Halfspaces with a Margin: Massart is No Harder than Random
Gautam Chandrasekaran
Vasilis Kontonis
Konstantinos Stavropoulos
Kevin Tian
92
0
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
53
1
0
01 Jul 2024
Adversarially-Robust Inference on Trees via Belief Propagation
Adversarially-Robust Inference on Trees via Belief Propagation
Samuel B. Hopkins
Anqi Li
34
0
0
31 Mar 2024
Learning to Abstain From Uninformative Data
Learning to Abstain From Uninformative Data
Yikai Zhang
Songzhu Zheng
M. Dalirrooyfard
Pengxiang Wu
Anderson Schneider
Anant Raj
Yuriy Nevmyvaka
Chao Chen
26
2
0
25 Sep 2023
Tester-Learners for Halfspaces: Universal Algorithms
Tester-Learners for Halfspaces: Universal Algorithms
Aravind Gollakota
Adam R. Klivans
Konstantinos Stavropoulos
A. Vasilyan
29
8
0
19 May 2023
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed
  Sampling
Mean-Square Analysis of Discretized Itô Diffusions for Heavy-tailed Sampling
Ye He
Tyler Farghly
Krishnakumar Balasubramanian
Murat A. Erdogdu
47
4
0
01 Mar 2023
SQ Lower Bounds for Learning Single Neurons with Massart Noise
SQ Lower Bounds for Learning Single Neurons with Massart Noise
Ilias Diakonikolas
D. Kane
Lisheng Ren
Yuxin Sun
17
6
0
18 Oct 2022
On PAC Learning Halfspaces in Non-interactive Local Privacy Model with
  Public Unlabeled Data
On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data
Jinyan Su
Jinhui Xu
Di Wang
21
2
0
17 Sep 2022
Outlier Robust and Sparse Estimation of Linear Regression Coefficients
Outlier Robust and Sparse Estimation of Linear Regression Coefficients
Takeyuki Sasai
Hironori Fujisawa
27
4
0
24 Aug 2022
Robust and Sparse Estimation of Linear Regression Coefficients with
  Heavy-tailed Noises and Covariates
Robust and Sparse Estimation of Linear Regression Coefficients with Heavy-tailed Noises and Covariates
Takeyuki Sasai
20
4
0
15 Jun 2022
Random Feature Amplification: Feature Learning and Generalization in
  Neural Networks
Random Feature Amplification: Feature Learning and Generalization in Neural Networks
Spencer Frei
Niladri S. Chatterji
Peter L. Bartlett
MLT
30
29
0
15 Feb 2022
ReLU Regression with Massart Noise
ReLU Regression with Massart Noise
Ilias Diakonikolas
Jongho Park
Christos Tzamos
56
11
0
10 Sep 2021
Forster Decomposition and Learning Halfspaces with Noise
Forster Decomposition and Learning Halfspaces with Noise
Ilias Diakonikolas
D. Kane
Christos Tzamos
81
18
0
12 Jul 2021
Improved Algorithms for Efficient Active Learning Halfspaces with
  Massart and Tsybakov noise
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
Near-Optimal Statistical Query Hardness of Learning Halfspaces with Massart Noise
Ilias Diakonikolas
D. Kane
13
24
0
17 Dec 2020
Non-Convex SGD Learns Halfspaces with Adversarial Label Noise
Non-Convex SGD Learns Halfspaces with Adversarial Label Noise
Ilias Diakonikolas
Vasilis Kontonis
Christos Tzamos
Nikos Zarifis
26
26
0
11 Jun 2020
Classification Under Misspecification: Halfspaces, Generalized Linear
  Models, and Connections to Evolvability
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability
Sitan Chen
Frederic Koehler
Ankur Moitra
Morris Yau
18
20
0
08 Jun 2020
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