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Alain Durmus

École Normale Supérieure

24

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192

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Uniform minorization condition and convergence bounds for discretizations of kinetic Langevin dynamics

2021 arXiv: Probability
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Fast Bayesian Model Selection in Imaging Inverse Problems Using Residuals

2021 SSP | IEEE Signal Processing Workshop on Statistical Signal Processing
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DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs

2021 ICML | International Conference on Machine Learning
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Monte Carlo Variational Auto-Encoders

2021 ICML | International Conference on Machine Learning
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Monte Carlo Variational Auto-Encoders

2021 arXiv: Machine Learning
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Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie

2021 arXiv: Methodology
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Statistical and Topological Properties of Sliced Probability Divergences

2020 NeurIPS | Neural Information Processing Systems
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Maximum likelihood estimation of regularisation parameters in high-dimensional inverse problems: an empirical Bayesian approach. Part II: Theoretical Analysis

2020 arXiv: Statistics Theory
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Forward Event-Chain Monte Carlo: Fast sampling by randomness control in irreversible Markov chains

2020 Journal of Computational and Graphical Statistics
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Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance

2019 NeurIPS | Neural Information Processing Systems
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Citations (27)