Benjamin Dupuis
According to our database1,
Benjamin Dupuis
authored at least 7 papers
between 2021 and 2024.
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2024
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Bibliography
2024
Uniform Generalization Bounds on Data-Dependent Hypothesis Sets via PAC-Bayesian Theory on Random Sets.
CoRR, 2024
Topological Generalization Bounds for Discrete-Time Stochastic Optimization Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Generalization Bounds for Heavy-Tailed SDEs through the Fractional Fokker-Planck Equation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
From Mutual Information to Expected Dynamics: New Generalization Bounds for Heavy-Tailed SGD.
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021