Pascal Germain
Scholar

Pascal Germain

Google Scholar ID: mgOIj_4AAAAJ
Associate Professor, Université Laval
Machine Learning
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Citations & Impact
All-time
Citations
14,543
 
H-index
20
 
i10-index
25
 
Publications
20
 
Co-authors
32
list available
Publications
9 items
ReLaG: A Scalable Framework Generalizing Random Splits to Data with Latent Relations
2026
Cited
0
On the disintegration of the stochastic majority vote: From PAC-Bayesian bounds to a self-bounding algorithm
2026
Cited
0
Bound to Disagree : Generalization Bounds via Certifiable Surrogates
2026
Cited
0
PAC-Bayesian Generalization Guarantees for Fairness on Stochastic and Deterministic Classifiers
2026
Cited
0
A Framework for Bounding Deterministic Risk with PAC-Bayes: Applications to Majority Votes
2025
Cited
0
Sample Compression for Continual Learning
2025
Cited
0
Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks
2024
Cited
0
Sample Compression Unleashed: New Generalization Bounds for Real Valued Losses
arXiv.org · 2024
Cited
1
Co-authors
12 total
Hugo Larochelle
Hugo Larochelle
Mila - Quebec AI Institute
Emilie Morvant
Emilie Morvant
Associate Professor (HDR), University of Saint-Etienne (France), Hubert Curien Laboratory
Mario Marchand
Mario Marchand
professeur d'informatique (retraité), Université Laval
Amaury Habrard
Amaury Habrard
Professor of Computer Science, University Jean Monnet of Saint-Etienne (France)
Paul Viallard
Paul Viallard
Researcher, LACODAM Team, INRIA Rennes, IRISA
Alexandre Lacoste
Alexandre Lacoste
Staff Research Scientist, ServiceNow Research
florence clerc
florence clerc
Heriot Watt University
Benjamin Guedj
Benjamin Guedj
Inria and University College London (UCL)