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

29 June 2020

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

21 / 21 papers shown

Title
Efficient Testable Learning of General Halfspaces with Adversarial Label Noise Ilias Diakonikolas Daniel M. Kane Sihan Liu Nikos Zarifis 36 0 0 30 Aug 2024
Efficiently Learning One-Hidden-Layer ReLU Networks via Schur Polynomials Ilias Diakonikolas D. Kane 32 4 0 24 Jul 2023
SQ Lower Bounds for Learning Bounded Covariance GMMs Ilias Diakonikolas D. Kane Thanasis Pittas Nikos Zarifis 35 0 0 22 Jun 2023
Tester-Learners for Halfspaces: Universal Algorithms Aravind Gollakota Adam R. Klivans Konstantinos Stavropoulos Arsen Vasilyan 37 8 0 19 May 2023
An Efficient Tester-Learner for Halfspaces Aravind Gollakota Adam R. Klivans Konstantinos Stavropoulos Arsen Vasilyan 25 10 0 28 Feb 2023
Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy Amit Daniely Nathan Srebro Gal Vardi 33 4 0 15 Feb 2023
Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals Ilias Diakonikolas D. Kane Lisheng Ren 22 26 0 13 Feb 2023
Active Learning for Single Neuron Models with Lipschitz Non-Linearities Aarshvi Gajjar C. Hegde Christopher Musco 24 12 0 24 Oct 2022
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 Julius Berner Philipp Grohs F. Voigtlaender 32 4 0 26 May 2022
Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks Sitan Chen Aravind Gollakota Adam R. Klivans Raghu Meka 30 30 0 10 Feb 2022
Agnostic Learnability of Halfspaces via Logistic Loss Ziwei Ji Kwangjun Ahn Pranjal Awasthi Satyen Kale Stefani Karp 8 3 0 31 Jan 2022
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 Ilias Zadik M. Song Alexander S. Wein Joan Bruna 17 35 0 07 Dec 2021
ReLU Regression with Massart Noise Ilias Diakonikolas Jongho Park Christos Tzamos 56 11 0 10 Sep 2021
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 Chicheng Zhang Yinan Li 27 24 0 10 Feb 2021
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 Ilias Diakonikolas D. Kane 15 24 0 17 Dec 2020
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization Sitan Chen Xiaoxiao Li Zhao Song Danyang Zhuo 27 13 0 23 Nov 2020
Non-Convex SGD Learns Halfspaces with Adversarial Label Noise Ilias Diakonikolas Vasilis Kontonis Christos Tzamos Nikos Zarifis 26 26 0 11 Jun 2020