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De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors
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De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors

A. Banerjee
Tiancong Chen
Yingxue Zhou
    BDL
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Papers citing "De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors"

5 / 5 papers shown
Title
Generalisation under gradient descent via deterministic PAC-Bayes
Generalisation under gradient descent via deterministic PAC-Bayes
Eugenio Clerico
Tyler Farghly
George Deligiannidis
Benjamin Guedj
Arnaud Doucet
152
4
0
06 Sep 2022
Adversarial robustness of sparse local Lipschitz predictors
Adversarial robustness of sparse local Lipschitz predictors
Ramchandran Muthukumar
Jeremias Sulam
AAML
92
13
0
26 Feb 2022
On Margins and Derandomisation in PAC-Bayes
On Margins and Derandomisation in PAC-Bayes
Felix Biggs
Benjamin Guedj
89
20
0
08 Jul 2021
Risk Bounds for Learning via Hilbert Coresets
Risk Bounds for Learning via Hilbert Coresets
Spencer Douglas
Piyush Kumar
R. Prasanth
52
0
0
29 Mar 2021
Generalization bounds for deep learning
Generalization bounds for deep learning
Guillermo Valle Pérez
A. Louis
BDL
82
45
0
07 Dec 2020