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A Margin-based Multiclass Generalization Bound via Geometric Complexity

A Margin-based Multiclass Generalization Bound via Geometric Complexity

28 May 2024
Michael Munn
Benoit Dherin
Javier Gonzalvo
    UQCV
ArXivPDFHTML

Papers citing "A Margin-based Multiclass Generalization Bound via Geometric Complexity"

12 / 12 papers shown
Title
Fit without fear: remarkable mathematical phenomena of deep learning
  through the prism of interpolation
Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolation
M. Belkin
45
186
0
29 May 2021
A Universal Law of Robustness via Isoperimetry
A Universal Law of Robustness via Isoperimetry
Sébastien Bubeck
Mark Sellke
38
218
0
26 May 2021
Sharpness-Aware Minimization for Efficiently Improving Generalization
Sharpness-Aware Minimization for Efficiently Improving Generalization
Pierre Foret
Ariel Kleiner
H. Mobahi
Behnam Neyshabur
AAML
184
1,344
0
03 Oct 2020
Implicit Gradient Regularization
Implicit Gradient Regularization
David Barrett
Benoit Dherin
69
150
0
23 Sep 2020
Fantastic Generalization Measures and Where to Find Them
Fantastic Generalization Measures and Where to Find Them
Yiding Jiang
Behnam Neyshabur
H. Mobahi
Dilip Krishnan
Samy Bengio
AI4CE
123
606
0
04 Dec 2019
The intriguing role of module criticality in the generalization of deep
  networks
The intriguing role of module criticality in the generalization of deep networks
Niladri S. Chatterji
Behnam Neyshabur
Hanie Sedghi
50
52
0
02 Dec 2019
Reconciling modern machine learning practice and the bias-variance
  trade-off
Reconciling modern machine learning practice and the bias-variance trade-off
M. Belkin
Daniel J. Hsu
Siyuan Ma
Soumik Mandal
219
1,638
0
28 Dec 2018
Implicit Regularization in Deep Learning
Implicit Regularization in Deep Learning
Behnam Neyshabur
50
146
0
06 Sep 2017
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for
  Neural Networks
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
Behnam Neyshabur
Srinadh Bhojanapalli
Nathan Srebro
80
28
0
29 Jul 2017
Spectrally-normalized margin bounds for neural networks
Spectrally-normalized margin bounds for neural networks
Peter L. Bartlett
Dylan J. Foster
Matus Telgarsky
ODL
193
1,216
0
26 Jun 2017
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural
  Networks with Many More Parameters than Training Data
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data
Gintare Karolina Dziugaite
Daniel M. Roy
106
812
0
31 Mar 2017
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
326
4,624
0
10 Nov 2016
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