← Authors

Benjamin Guedj

24 papers · 2018–2025 · 6 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (13) 🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (5) πŸƒ Academic Marathon (7) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (6) πŸ”¬ Deep Specialist (13) πŸ† Keyword Champion (3) πŸ—ƒοΈ Keyword Collector (97) πŸ“ˆ Trend Setter πŸ’Ž Century Club (24) πŸ”₯ Unstoppable (8) ⚑ Prolific Year (8)

Conferences

NIPS (11) AISTATS (5) JMLR (3) ALT (2) ICML (2) UAI (1)

Top co-authors

Felix Biggs (4) Antonin Schrab (3) Arthur Gretton (3) Pascal Germain (3) Paul Viallard (3) Maxime Haddouche (3) Zakaria Mhammedi (2) Umut Simsekli (2) Arnaud Doucet (2) Valentina Zantedeschi (2)

Research topics

Statistics (3)

Keywords

generalization bound (12) pac-bayesian theory (6) pac-bayes bound (5) generalisation bound (3) kernel stein discrepancy (2) pac-bayesian learning (2) learning theory (2) margin bound (2) nonparametric test (2) bootstrap method (2) pac-bayesian bound (2) excess risk (2) kernel methods (2) ensemble learning (2) pac-bayes theory (2) maximum mean discrepancy (2) concentration inequality (2) regret bound (2) variational inference (1) stochastic gradient descent (1)

Papers

Generalisation under gradient descent via deterministic PAC-Bayes ALT 2025
A PAC-Bayesian Link Between Generalisation and Flat Minima ALT 2025
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound NIPS 2024
Learning via Surrogate PAC-Bayes NIPS 2024
Comparing Comparators in Generalization Bounds AISTATS 2024
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty AISTATS 2023
Learning via Wasserstein-Based High Probability Generalisation Bounds NIPS 2023
Cluster-Specific Predictions with Multi-Task Gaussian Processes JMLR 2023
MMD Aggregated Two-Sample Test JMLR 2023
Non-Vacuous Generalisation Bounds for Shallow Neural Networks ICML 2022
On Margins and Generalisation for Voting Classifiers NIPS 2022
Efficient Aggregated Kernel Tests using Incomplete $U$-statistics NIPS 2022
Online PAC-Bayes Learning NIPS 2022
KSD Aggregated Goodness-of-fit Test NIPS 2022
On PAC-Bayesian reconstruction guarantees for VAEs AISTATS 2022
On Margins and Derandomisation in PAC-Bayes AISTATS 2022
Measuring dissimilarity with diffeomorphism invariance ICML 2022
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound NIPS 2021
Online k-means Clustering AISTATS 2021
PAC-Bayesian Contrastive Unsupervised Representation Learning UAI 2020
PAC-Bayesian Bound for the Conditional Value at Risk NIPS 2020
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks NIPS 2019
PAC-Bayes Un-Expected Bernstein Inequality NIPS 2019
Pycobra: A Python Toolbox for Ensemble Learning and Visualisation JMLR 2018