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Felix Biggs
Felix Biggs
PhD in Foundational AI from University College London
E-mailová adresa ověřena na: ucl.ac.uk - Domovská stránka
Název
Citace
Citace
Rok
Differentiable PAC–Bayes objectives with partially aggregated neural networks
F Biggs, B Guedj
Entropy 23 (10), 1280, 2021
362021
Non-vacuous generalisation bounds for shallow neural networks
F Biggs, B Guedj
Proceedings of the 39th International Conference on Machine Learning, PMLR …, 2022
292022
On margins and derandomisation in PAC-Bayes
F Biggs, B Guedj
International Conference on Artificial Intelligence and Statistics, 2022
272022
MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting
F Biggs, A Schrab, A Gretton
Neural Information Processing Systems 37, 2023
242023
Tighter pac-bayes generalisation bounds by leveraging example difficulty
F Biggs, B Guedj
International Conference on Artificial Intelligence and Statistics, 8165-8182, 2023
132023
On Margins and Generalisation for Voting Classifiers
F Biggs, V Zantedeschi, B Guedj
Neural Information Processing Systems 2022., 2022
102022
A Note on the Efficient Evaluation of PAC-Bayes Bounds
F Biggs
arXiv preprint arXiv:2209.05188, 2022
12022
Exploring Generalisation Performance through PAC-Bayes
F Biggs
UCL (University College London), 2024
2024
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Články 1–8