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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

29 June 2020
Ilias Diakonikolas
D. Kane
Nikos Zarifis
ArXivPDFHTML

Papers citing "Near-Optimal SQ Lower Bounds for Agnostically Learning Halfspaces and ReLUs under Gaussian Marginals"

17 / 17 papers shown
Title
Efficient Testable Learning of General Halfspaces with Adversarial Label
  Noise
Efficient Testable Learning of General Halfspaces with Adversarial Label Noise
Ilias Diakonikolas
Daniel M. Kane
Sihan Liu
Nikos Zarifis
31
0
0
30 Aug 2024
Efficiently Learning One-Hidden-Layer ReLU Networks via Schur
  Polynomials
Efficiently Learning One-Hidden-Layer ReLU Networks via Schur Polynomials
Ilias Diakonikolas
D. Kane
24
4
0
24 Jul 2023
SQ Lower Bounds for Learning Bounded Covariance GMMs
SQ Lower Bounds for Learning Bounded Covariance GMMs
Ilias Diakonikolas
D. Kane
Thanasis Pittas
Nikos Zarifis
25
0
0
22 Jun 2023
Tester-Learners for Halfspaces: Universal Algorithms
Tester-Learners for Halfspaces: Universal Algorithms
Aravind Gollakota
Adam R. Klivans
Konstantinos Stavropoulos
A. Vasilyan
27
8
0
19 May 2023
Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces
  and ReLU Regression under Gaussian Marginals
Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals
Ilias Diakonikolas
D. Kane
Lisheng Ren
15
26
0
13 Feb 2023
Optimal SQ Lower Bounds for Robustly Learning Discrete Product
  Distributions and Ising Models
Optimal SQ Lower Bounds for Robustly Learning Discrete Product Distributions and Ising Models
Ilias Diakonikolas
D. Kane
Yuxin Sun
28
1
0
09 Jun 2022
Learning ReLU networks to high uniform accuracy is intractable
Learning ReLU networks to high uniform accuracy is intractable
Julius Berner
Philipp Grohs
F. Voigtlaender
32
4
0
26 May 2022
Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks
Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks
Sitan Chen
Aravind Gollakota
Adam R. Klivans
Raghu Meka
21
30
0
10 Feb 2022
Non-Gaussian Component Analysis via Lattice Basis Reduction
Non-Gaussian Component Analysis via Lattice Basis Reduction
Ilias Diakonikolas
D. Kane
34
18
0
16 Dec 2021
Lattice-Based Methods Surpass Sum-of-Squares in Clustering
Lattice-Based Methods Surpass Sum-of-Squares in Clustering
Ilias Zadik
M. Song
Alexander S. Wein
Joan Bruna
14
35
0
07 Dec 2021
ReLU Regression with Massart Noise
ReLU Regression with Massart Noise
Ilias Diakonikolas
Jongho Park
Christos Tzamos
48
11
0
10 Sep 2021
Approximate Maximum Halfspace Discrepancy
Approximate Maximum Halfspace Discrepancy
Michael Matheny
J. Phillips
14
2
0
25 Jun 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
From Local Pseudorandom Generators to Hardness of Learning
From Local Pseudorandom Generators to Hardness of Learning
Amit Daniely
Gal Vardi
109
30
0
20 Jan 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
11
24
0
17 Dec 2020
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization
Sitan Chen
Xiaoxiao Li
Zhao-quan Song
Danyang Zhuo
11
13
0
23 Nov 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
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