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Generalization Error Bounds via $m$th Central Moments of the Information
  Density
v1v2 (latest)

Generalization Error Bounds via mmmth Central Moments of the Information Density

International Symposium on Information Theory (ISIT), 2020
20 April 2020
Fredrik Hellström
G. Durisi
ArXiv (abs)PDFHTML

Papers citing "Generalization Error Bounds via $m$th Central Moments of the Information Density"

4 / 4 papers shown
Generalization Bounds via Convex Analysis
Generalization Bounds via Convex AnalysisAnnual Conference Computational Learning Theory (COLT), 2022
Gábor Lugosi
Gergely Neu
314
37
0
10 Feb 2022
Information Complexity and Generalization Bounds
Information Complexity and Generalization BoundsInternational Symposium on Information Theory (ISIT), 2021
P. Banerjee
Guido Montúfar
411
18
0
04 May 2021
Fast-Rate Loss Bounds via Conditional Information Measures with
  Applications to Neural Networks
Fast-Rate Loss Bounds via Conditional Information Measures with Applications to Neural Networks
Fredrik Hellström
G. Durisi
334
2
0
22 Oct 2020
Generalization Bounds via Information Density and Conditional
  Information Density
Generalization Bounds via Information Density and Conditional Information Density
Fredrik Hellström
G. Durisi
511
82
0
16 May 2020
1
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