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Achievement: Pair ExtraordinaireAchievement: Pull Shark

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Achievement: Pair ExtraordinaireAchievement: Pull Shark

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  1. 2019-TSP-split-Gibbs-sampler 2019-TSP-split-Gibbs-sampler Public

    Maxime Vono, Nicolas Dobigeon, Pierre Chainais, Split-and-augmented Gibbs sampler - Application to large-scale inference problems, IEEE TSP, 2019.

    MATLAB 5

  2. 2018-MLSP-sparse-bayesian-logistic-regression 2018-MLSP-sparse-bayesian-logistic-regression Public

    Maxime Vono, Nicolas Dobigeon, Pierre Chainais, Sparse Bayesian binary logistic regression using the split-and-augmented Gibbs sampler, MLSP, 2018.

    MATLAB 2

  3. 2019-ICASSP-Poisson-image-restoration 2019-ICASSP-Poisson-image-restoration Public

    Maxime Vono, Nicolas Dobigeon, Pierre Chainais, Bayesian image restoration under Poisson noise and log-concave prior, ICASSP, 2019.

    MATLAB 1

  4. 2020-JCGS-AXDA 2020-JCGS-AXDA Public

    Maxime Vono, Nicolas Dobigeon, Pierre Chainais, Asymptotically exact data augmentation: models, properties and algorithms, JCGS, 2020.

    Jupyter Notebook 2

  5. PyGauss PyGauss Public

    Companion package of the review paper entitled 'High-dimensional Gaussian sampling: A review and a unifying approach based on a stochastic proximal point algorithm' by Maxime Vono et al.

    Jupyter Notebook 14 5

  6. 2021-ICML-DGLMC 2021-ICML-DGLMC Public

    Vincent Plassier, Maxime Vono, Alain Durmus, Eric Moulines, DG-LMC: a turn-key and scalable synchronous distributed MCMC algorithm via Langevin Monte Carlo within Gibbs, ICML, 2021.

    Jupyter Notebook 2