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hal-01668245v1  Journal articles
Alain Durmus, Éric Moulines. Nonasymptotic convergence analysis for the unadjusted Langevin algorithm
Annals of Applied Probability, Institute of Mathematical Statistics (IMS), 2017, 27 (3), pp.1551 - 1587. ⟨10.1214/16-AAP1238⟩
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hal-01267115v1  Journal articles
Alain Durmus, Éric Moulines, Marcelo 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-02191302v1  Conference papers
Antoine Liutkus, Umut Imşekli, Szymon Majewski, Alain Durmus, Fabian-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-01176132v3  Preprints, Working Papers, ...
Alain Durmus, Éric Moulines. Non-asymptotic convergence analysis for the Unadjusted Langevin Algorithm
2016
hal-01111627v1  Conference papers
Léo Ducas, Alain Durmus. Ring-LWE in polynomial rings
PKC 2012 - International Conference on Practice and Theory in Public Key Cryptography, May 2012, Darmstadt, Germany. pp.34-51, ⟨10.1007/978-3-642-30057-8_3⟩
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hal-02626383v2  Preprints, Working Papers, ...
Alain Durmus, Pablo Jiménez, Eric Moulines, Salem Said, Hoi-To Wai. Convergence Analysis of Riemannian Stochastic Approximation Schemes
2020
hal-01971160v1  Journal articles
Alain Durmus, Sylvain Le Corff, Eric Moulines, Gareth Roberts. Optimal scaling of the random walk Metropolis algorithm under L p mean differentiability
Journal of Applied Probability, Cambridge University press, 2017, 54 (04), pp.1233-1260
hal-00864298v1  Conference papers
Leo Ducas, Alain Durmus, Tancrede Lepoint, Vadim Lyubashevsky. Lattice signatures and bimodal Gaussians
CRYPTO 2013 - 33rd Annual Cryptology Conference, Aug 2013, Santa Barbara, United States. pp.40-56, ⟨10.1007/978-3-642-40041-4_3⟩
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lirmm-02010805v1  Journal articles
Fabian-Robert Stöter, Soumitro Chakrabarty, Bernd Edler, Emanuël Habets. CountNet: Estimating the Number of Concurrent Speakers Using Supervised Learning
IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2019, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 27 (2), pp.268-282. ⟨10.1109/TASLP.2018.2877892⟩
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hal-01565514v2  Preprints, Working Papers, ...
Aymeric Dieuleveut, Alain Durmus, Francis Bach. Bridging the Gap between Constant Step Size Stochastic Gradient Descent and Markov Chains
2018
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hal-01934316v1  Preprints, Working Papers, ...
Nicolas Brosse, Alain Durmus, Sean Meyn, Éric Moulines. Diffusion approximations and control variates for MCMC
2018
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hal-01648666v2  Journal articles
Nicolas Brosse, Alain Durmus, Éric 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-01648667v1  Journal articles
Nicolas Brosse, Alain Durmus, Éric Moulines, Sotirios Sabanis. The Tamed Unadjusted Langevin Algorithm
Stochastic Processes and their Applications, Elsevier, 2018, ⟨10.1016/j.spa.2018.10.002⟩
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hal-01648665v1  Journal articles
Nicolas Brosse, Alain Durmus, Éric Moulines, Marcelo Pereyra. Sampling from a log-concave distribution with compact support with proximal Langevin Monte Carlo
Proceedings of Machine Learning Research, PMLR, 2017, 65, pp.319-342
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hal-01934291v1  Conference papers
Nicolas Brosse, Alain Durmus, Éric Moulines. The promises and pitfalls of Stochastic Gradient Langevin Dynamics
NeurIPS 2018 (Advances in Neural Information Processing Systems 2018), Dec 2018, Montreal, France