Benjamin Guedj
24 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (13) π Interdisciplinary Bridge π Academic Marathon (7)
π§
Keyword Pioneer
π
Interdisciplinary Bridge
π
Conference Polyglot
(6)
π¬
Deep Specialist
(13)
π
Keyword Champion
(3)
ποΈ
Keyword Collector
(97)
π
Trend Setter
π
Century Club
(24)
π₯
Unstoppable
(8)
β‘
Prolific Year
(8)
Conferences
NIPS (11)
AISTATS (5)
JMLR (3)
ALT (2)
ICML (2)
UAI (1)
Top co-authors
Research topics
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