Algorithms and SQ Lower Bounds for PAC Learning One-Hidden-Layer ReLU Networks

22 June 2020

Papers citing "Algorithms and SQ Lower Bounds for PAC Learning One-Hidden-Layer ReLU Networks"

21 / 21 papers shown

Title
SQ Lower Bounds for Learning Mixtures of Linear Classifiers Ilias Diakonikolas D. Kane Yuxin Sun 25 3 0 18 Oct 2023
Efficiently Learning One-Hidden-Layer ReLU Networks via Schur Polynomials Ilias Diakonikolas D. Kane 32 4 0 24 Jul 2023
A faster and simpler algorithm for learning shallow networks Sitan Chen Shyam Narayanan 41 7 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
Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models Alexandru Damian Eshaan Nichani Rong Ge Jason D. Lee MLT 42 33 0 18 May 2023
Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy Amit Daniely Nathan Srebro Gal Vardi 33 4 0 15 Feb 2023
Learning Single-Index Models with Shallow Neural Networks A. Bietti Joan Bruna Clayton Sanford M. Song 170 68 0 27 Oct 2022
Neural Networks can Learn Representations with Gradient Descent Alexandru Damian Jason D. Lee Mahdi Soltanolkotabi SSL MLT 25 114 0 30 Jun 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
Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks Sitan Chen Aravind Gollakota Adam R. Klivans Raghu Meka 24 30 0 10 Feb 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
Efficiently Learning Any One Hidden Layer ReLU Network From Queries Sitan Chen Adam R. Klivans Raghu Meka MLAU MLT 45 8 0 08 Nov 2021
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network Mo Zhou Rong Ge Chi Jin 76 45 0 04 Feb 2021
From Local Pseudorandom Generators to Hardness of Learning Amit Daniely Gal Vardi 109 30 0 20 Jan 2021
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise Spencer Frei Yuan Cao Quanquan Gu FedML MLT 64 19 0 04 Jan 2021
Small Covers for Near-Zero Sets of Polynomials and Learning Latent Variable Models Ilias Diakonikolas D. Kane 21 32 0 14 Dec 2020
On InstaHide, Phase Retrieval, and Sparse Matrix Factorization Sitan Chen Xiaoxiao Li Zhao Song Danyang Zhuo 27 13 0 23 Nov 2020
Learning Deep ReLU Networks Is Fixed-Parameter Tractable Sitan Chen Adam R. Klivans Raghu Meka 22 36 0 28 Sep 2020
Near-Optimal SQ Lower Bounds for Agnostically Learning Halfspaces and ReLUs under Gaussian Marginals Ilias Diakonikolas D. Kane Nikos Zarifis 19 66 0 29 Jun 2020
Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks Difan Zou Yuan Cao Dongruo Zhou Quanquan Gu ODL 33 446 0 21 Nov 2018