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06/07/2023
Learning via Wasserstein-Based High Probability Generalisation Bounds
Minimising upper bounds on the population risk or the generalisation gap...
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04/14/2023
Wasserstein PAC-Bayes Learning: A Bridge Between Generalisation and Optimisation
PAC-Bayes learning is an established framework to assess the generalisat...
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01/18/2023
Optimistic Dynamic Regret Bounds
Online Learning (OL) algorithms have originally been developed to guaran...
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10/03/2022
PAC-Bayes with Unbounded Losses through Supermartingales
While PAC-Bayes is now an established learning framework for bounded los...
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05/31/2022
Online PAC-Bayes Learning
Most PAC-Bayesian bounds hold in the batch learning setting where data i...
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12/18/2020
Upper and Lower Bounds on the Performance of Kernel PCA
Principal Component Analysis (PCA) is a popular method for dimension red...
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06/12/2020