Seminars and invited talks
| 2022/03 | Invited talk, SIAM Conference on Imaging Science, Mini symposium on "Sparse Bayesian learning for image reconstruction with uncertainty quantification", online "Asymptotically exact data augmentation: models, algorithms and applications to image processing" |
| 2022/01 | Invited talk, AI Seminar Series, organized by Technology Innovation Institute, online "Bayesian federated learning" |
| 2021/11 | Seminar, Signal & Communications Seminar, IRIT, Toulouse, France "Bayesian federated learning" |
| 2021/11 | Invited talk, Workshop on large scale simulation and high-dimensional sampling, organized by Huawei, online "High-dimensional Gaussian sampling: a review and a unifying approach based on a stochastic proximal point algorithm" |
| 2021/11 | Exceptional Seminar, Mohamed bin Zayed University of Artificial Intelligence visit, Ecole Polytechnique, Paris, France "DG-LMC: A turn-key and scalable synchronous distributed MCMC algorithm via Langevin Monte Carlo within Gibbs" |
| 2021/11 | Seminar, SIMPAS Seminar, CMAP, Ecole Polytechnique, Paris, France "Bayesian federated learning" |
| 2021/09 | Invited talk, On Future Synergies for Stochastic and Learning Algorithms, CIRM, Marseille, France "Bayesian federated learning" |
| 2021/08 | Invited talk, Journées MAS 2020, organized by Institut Denis Poisson (UMR CNRS Orléans-Tours), online "Asymptotically exact data augmentation : models, algorithms and theory" |
| 2021/06 | Invited talk, Workshop on large scale simulation and high-dimensional sampling, organized by Huawei, online "DG-LMC: A turn-key and scalable synchronous distributed MCMC algorithm via Langevin Monte Carlo within Gibbs" |
| 2020/12 | Seminar, S3 Seminar - The Paris-Saclay Signal Seminar, CentraleSupelec "Efficient MCMC sampling via asymptotically exact data augmentation" |
| 2020/11 | Invited talk, Workshop on large scale simulation and high-dimensional sampling, organized by Huawei, online "Asymptotically exact data augmentation (AXDA): An approximate statistical framework for Bayesian inference" and "Efficient sampling in high-dimensional and large-scale problems based on AXDA" |
| 2020/09 | Seminar, Laplace's Demon Seminar, organized by Criteo AI Lab and ENSAE, online "Efficient MCMC sampling using ADMM-type splitting" talk |
| 2020/02 | Seminar, Actuarial Mathematics & Statistics Seminar, School of Mathematics of Heriot Watt University, Edinburgh, U.K. "Asymptotically exact data augmentation: models, properties and algorithms" |
| 2019/12 | Invited talk, Toulouse Inderdisciplinary group on Deep Learning (TIDLE), Quai des Savoirs, Toulouse, France "Asymptotically exact data augmentation: models, properties and algorithms" |
| 2019/12 | Invited talk, Workshop on optimization, probability and simulation, organized by the Shenzhen Institute of Artificial Intelligence and Robotics for Society, University of Hong Kong, Shenzhen, China "Asymptotically exact data augmentation: models, properties and algorithms" |
| 2019/04 | Invited talk, Mews Digital Day, Mews Partners, Toulouse, France "On artificial intelligence dedicated to supply chain and business strategy" |
| 2019/03 | Seminar, OxCSML Seminar, Department of Statistics, University of Oxford, Oxford, U.K. "Asymptotically exact data augmentation: models, properties and algorithms" |
| 2018/05 | Seminar, CRIStAL Seminar, Ecole Centrale de Lille, Lille, France "Split-and-augmented Gibbs sampler - A divide & conquer approach to solve large-scale inference problems" |