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Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting., , and . J. Mach. Learn. Res., (2022)Personalised Federated Learning On Heterogeneous Feature Spaces., , , and . CoRR, (2023)Asymptotically Exact Data Augmentation: Models, Properties, and Algorithms., , and . J. Comput. Graph. Stat., 30 (2): 335-348 (2021)A Fully Bayesian Approach For Inferring Physical Properties With Credibility Intervals From Noisy Astronomical Data., , , , , , , , , and 17 other author(s). WHISPERS, page 1-5. IEEE, (2019)QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning., , , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 6459-6500. PMLR, (2022)QLSD: Quantised Langevin stochastic dynamics for Bayesian federated learning., , , , and . CoRR, (2021)DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm., , , and . CoRR, (2021)Split-and-Augmented Gibbs Sampler - Application to Large-Scale Inference Problems., , and . IEEE Trans. Signal Process., 67 (6): 1648-1661 (2019)Mixture of noises and sampling of non-log-concave posterior distributions., , , , , , , , , and 12 other author(s). EUSIPCO, page 2031-2035. IEEE, (2022)Bayesian Image Restoration under Poisson Noise and Log-concave Prior., , and . ICASSP, page 1712-1716. IEEE, (2019)