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Mathias Trabs

Calibrating Bayesian Generative Machine Learning for Bayesiamplification

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Aug 01, 2024
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A Wasserstein perspective of Vanilla GANs

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Mar 22, 2024
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AdamMCMC: Combining Metropolis Adjusted Langevin with Momentum-based Optimization

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Dec 21, 2023
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Statistical guarantees for stochastic Metropolis-Hastings

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Oct 13, 2023
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PAC-Bayes training for neural networks: sparsity and uncertainty quantification

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Apr 26, 2022
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Dimensionality Reduction and Wasserstein Stability for Kernel Regression

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Mar 17, 2022
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