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Felix Biggs
Felix Biggs
PhD Candidate in Foundational AI at University College London
Verified email at ucl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Differentiable PAC–Bayes objectives with partially aggregated neural networks
F Biggs, B Guedj
Entropy 23 (10), 1280, 2021
322021
On margins and derandomisation in PAC-Bayes
F Biggs, B Guedj
International Conference on Artificial Intelligence and Statistics, 2022
262022
Non-vacuous generalisation bounds for shallow neural networks
F Biggs, B Guedj
Proceedings of the 39th International Conference on Machine Learning, PMLR …, 2022
212022
On Margins and Generalisation for Voting Classifiers
F Biggs, V Zantedeschi, B Guedj
Neural Information Processing Systems 2022., 2022
82022
Tighter pac-bayes generalisation bounds by leveraging example difficulty
F Biggs, B Guedj
International Conference on Artificial Intelligence and Statistics, 8165-8182, 2023
72023
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
52023
A Note on the Efficient Evaluation of PAC-Bayes Bounds
F Biggs
arXiv preprint arXiv:2209.05188, 2022
2022
Data-Conditioned Weight Selection and Modularity in Neural Networks
F Biggs
2018
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Articles 1–8