Felix Biggs
5 papers · 2022–2023 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
Venues
Research topics
Keywords
margin bound
(2)
generalization bound
(2)
pac-bayes bound
(2)
neural network training
(1)
ensemble learning
(1)
pac-bayes theory
(1)
statistical testing
(1)
variance reduction
(1)
excess risk
(1)
maximum mean discrepancy
(1)
majority voting
(1)
two-sample testing
(1)
support vector machine
(1)
pac-bayesian bound
(1)
shallow neural network
(1)
pac-bayesian theory
(1)
ensemble classifier
(1)
permutation test
(1)
voting classifier
(1)
power analysis
(1)
Papers
MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting
NeurIPS 2023
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty
AISTATS 2023
Non-Vacuous Generalisation Bounds for Shallow Neural Networks
ICML 2022
On Margins and Derandomisation in PAC-Bayes
AISTATS 2022
On Margins and Generalisation for Voting Classifiers
NeurIPS 2022