Pascal Germain

Publications

Generalization Bounds via Meta-Learned Model Representations: PAC-Bayes and Sample Compression Hypernetworks. Benjamin Leblanc, Mathieu Bazinet, Nathaniel D'Amours, Alexandre Drouin, Pascal Germain. At International Conference on Machine Learning (ICML), 2025.

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Sample compression unleashed: New generalization bounds for real valued losses. Mathieu Bazinet, Valentina Zantedeschi, Pascal Germain. At International Conference on Artificial Intelligence and Statistics (AISTATS), 2025.

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Sample Compression Hypernetworks: From Generalization Bounds to Meta-Learning. Benjamin Leblanc, Mathieu Bazinet, Nathaniel D'Amours, Pascal Germain, Alexandre Drouin. At Workshop at the Neural Information Processing Systems (NeurIPS), 2024.

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Sample compression unleashed: New generalization bounds for real valued losses. Mathieu Bazinet, Valentina Zantedeschi, Pascal Germain. At Workshop at the Neural Information Processing Systems (NeurIPS), 2024.

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Invariant Causal Set Covering Machines. Thibaud Godon, Baptiste Bauvin, Pascal Germain, Jacques Corbeil, Alexandre Drouin. At Workshop on Spurious Correlations, Invariance, and Stability (ICML), 2023.

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