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Toward $L_\infty$-recovery of Nonlinear Functions: A Polynomial Sample
  Complexity Bound for Gaussian Random Fields

Toward L∞L_\inftyL∞​-recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields

29 April 2023
Kefan Dong
Tengyu Ma
ArXivPDFHTML

Papers citing "Toward $L_\infty$-recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields"

2 / 2 papers shown
Title
Going Beyond Linear RL: Sample Efficient Neural Function Approximation
Going Beyond Linear RL: Sample Efficient Neural Function Approximation
Baihe Huang
Kaixuan Huang
Sham Kakade
Jason D. Lee
Qi Lei
Runzhe Wang
Jiaqi Yang
41
8
0
14 Jul 2021
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer
  Neural Network
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network
Mo Zhou
Rong Ge
Chi Jin
69
44
0
04 Feb 2021
1