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hal-01267115v1  Journal articles
Alain DurmusÉric MoulinesMarcelo Pereyra. Efficient Bayesian Computation by Proximal Markov Chain Monte Carlo: When Langevin Meets Moreau.
SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2018, 11 (1)
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hal-01648666v2  Journal articles
Nicolas BrosseAlain DurmusÉric Moulines. Normalizing constants of log-concave densities
Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2018, 12 (1), pp.851-889. ⟨10.1214/18-EJS1411⟩
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hal-02191302v1  Conference papers
Antoine LiutkusUmut ImşekliSzymon MajewskiAlain DurmusFabian-Robert Stöter. Sliced-Wasserstein Flows: Nonparametric Generative Modeling via Optimal Transport and Diffusions
36th International Conference on Machine Learning (ICML), Jun 2019, Long Beach, United States
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hal-01934291v1  Conference papers
Nicolas BrosseAlain DurmusÉric Moulines. The promises and pitfalls of Stochastic Gradient Langevin Dynamics
NeurIPS 2018 (Advances in Neural Information Processing Systems 2018), Dec 2018, Montreal, France