Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field
Approximation

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Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation

6 September 2019

Konstantinos Pitas

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Papers citing "Dissecting Non-Vacuous Generalization Bounds based on the Mean-Field Approximation"

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Title
Estimating optimal PAC-Bayes bounds with Hamiltonian Monte Carlo Szilvia Ujváry Gergely Flamich Vincent Fortuin José Miguel Hernández Lobato 56 0 0 30 Oct 2023
On the generalization of learning algorithms that do not converge N. Chandramoorthy Andreas Loukas Khashayar Gatmiry Stefanie Jegelka MLT 89 11 0 16 Aug 2022
On PAC-Bayesian reconstruction guarantees for VAEs Badr-Eddine Chérief-Abdellatif Yuyang Shi Arnaud Doucet Benjamin Guedj DRL 107 19 0 23 Feb 2022
PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations Louis Fortier-Dubois Gaël Letarte Benjamin Leblanc Franccois Laviolette Pascal Germain UQCV 68 0 0 28 Oct 2021
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 193 206 0 21 Oct 2021
Tighter risk certificates for neural networks Maria Perez-Ortiz Omar Rivasplata John Shawe-Taylor Csaba Szepesvári UQCV 91 108 0 25 Jul 2020