Benjamin Guedj
24 papers · 2018–2025 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 42% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Benjamin Guedj?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Felix Biggs, Pascal Germain, Paul Viallard
10 papers
· 2019–2025
· NeurIPS, AISTATS, ALT
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A PAC-Bayesian Link Between Generalisation and Flat Minima
ALT 2025
Learning via Wasserstein-Based High Probability Generalisation Bounds
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
Online PAC-Bayes Learning
NeurIPS 2022
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound
NeurIPS 2021
PAC-Bayesian Contrastive Unsupervised Representation Learning
UAI 2020
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
NeurIPS 2019
7 papers whose co-authors appear nowhere else under this name
Comparing Comparators in Generalization Bounds
AISTATS 2024
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound
NeurIPS 2024
Learning via Surrogate PAC-Bayes
NeurIPS 2024
Cluster-Specific Predictions with Multi-Task Gaussian Processes
JMLR 2023
Measuring dissimilarity with diffeomorphism invariance
ICML 2022
Online k-means Clustering
AISTATS 2021
Pycobra: A Python Toolbox for Ensemble Learning and Visualisation
JMLR 2018