Felix Biggs

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 13

Top Topics

Statistical Learning Theory

Top Venues

Publications

Felix Biggs, Benjamin Guedj
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty. AISTATS (2023)
Felix Biggs, Antonin Schrab, Arthur Gretton
MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting. NeurIPS (2023)
Felix Biggs, Antonin Schrab, Arthur Gretton
MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting. CoRR (2023)
Felix Biggs
A Note on the Efficient Evaluation of PAC-Bayes Bounds. CoRR (2022)
Felix Biggs, Benjamin Guedj
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty. CoRR (2022)
Felix Biggs, Benjamin Guedj
On Margins and Derandomisation in PAC-Bayes. AISTATS (2022)
Felix Biggs, Valentina Zantedeschi, Benjamin Guedj
On Margins and Generalisation for Voting Classifiers. CoRR (2022)
Felix Biggs, Benjamin Guedj
Non-Vacuous Generalisation Bounds for Shallow Neural Networks. CoRR (2022)
Felix Biggs, Valentina Zantedeschi, Benjamin Guedj
On Margins and Generalisation for Voting Classifiers. NeurIPS (2022)
Felix Biggs, Benjamin Guedj
Non-Vacuous Generalisation Bounds for Shallow Neural Networks. ICML (2022)
Felix Biggs, Benjamin Guedj
Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks. Entropy 23 (10) (2021)
Felix Biggs, Benjamin Guedj
On Margins and Derandomisation in PAC-Bayes. CoRR (2021)
Felix Biggs, Benjamin Guedj
Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks. CoRR (2020)