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Papers
A PAC-Bayesian Link Between Generalisation and Flat Minima
ALT 2025
Generalisation under gradient descent via deterministic PAC-Bayes
ALT 2025
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound
NeurIPS 2024
Non-parametric Representation Learning with Kernels
AAAI 2024
Conditionally Gaussian PAC-Bayes
AISTATS 2022
On Margins and Generalisation for Voting Classifiers
NeurIPS 2022
Narrow Margins: Classification, Margins and Fat Tails
ICML 2021
Provably Strict Generalisation Benefit for Invariance in Kernel Methods
NeurIPS 2021
How does Weight Correlation Affect Generalisation Ability of Deep Neural Networks?
NeurIPS 2020
PAC-Bayesian Contrastive Unsupervised Representation Learning
UAI 2020
Stability and Generalization of Learning Algorithms that Converge to Global Optima
ICML 2018
Regularization of Neural Networks using DropConnect
ICML 2013
PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
JMLR 2002