Felix Biggs

14 papers A* 3A 2Journal 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LLM Flow Processes for Text-Conditioned Regression. CoRR Felix Biggs, Samuel Willis
2023	J	`jnl`	MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting. CoRR Felix Biggs, Antonin Schrab, Arthur Gretton
2023	A*	`conf`	MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting. NeurIPS Felix Biggs, Antonin Schrab, Arthur Gretton
2023	A	`conf`	Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty. AISTATS Felix Biggs, Benjamin Guedj
2022	J	`jnl`	A Note on the Efficient Evaluation of PAC-Bayes Bounds. CoRR Felix Biggs
2022	A*	`conf`	Non-Vacuous Generalisation Bounds for Shallow Neural Networks. ICML Felix Biggs, Benjamin Guedj
2022	J	`jnl`	Non-Vacuous Generalisation Bounds for Shallow Neural Networks. CoRR Felix Biggs, Benjamin Guedj
2022	A	`conf`	On Margins and Derandomisation in PAC-Bayes. AISTATS Felix Biggs, Benjamin Guedj
2022	A*	`conf`	On Margins and Generalisation for Voting Classifiers. NeurIPS Felix Biggs, Valentina Zantedeschi, Benjamin Guedj
2022	J	`jnl`	On Margins and Generalisation for Voting Classifiers. CoRR Felix Biggs, Valentina Zantedeschi, Benjamin Guedj
2022	J	`jnl`	Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty. CoRR Felix Biggs, Benjamin Guedj
2021	J	`jnl`	Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks. Entropy Felix Biggs, Benjamin Guedj
2021	J	`jnl`	On Margins and Derandomisation in PAC-Bayes. CoRR Felix Biggs, Benjamin Guedj
2020	J	`jnl`	Differentiable PAC-Bayes Objectives with Partially Aggregated Neural Networks. CoRR Felix Biggs, Benjamin Guedj