Archive for scalable MCMC
ERC postdoc position on scalable experimental design, in Oxford, UK
Posted in Statistics, Travel, University life with tags Bayesian deep learning, Britain, data-driven algorithms, ERC, ERC Starting Grant, European Research Council, experimental design, Horizon Europe, LLM, machine learning, postdoctoral position, scalable MCMC, simulation-based inference, UK, UKRI, uncertainty quantification, University of Oxford on August 8, 2025 by xi'anScalable Monte Carlo for Bayesian Learning [not yet a book review]
Posted in Books, Statistics, University life with tags 1⁰ North, Bayesian learning, book review, Cambridge University Press, continuous time MCMC, convergence diagnostics, cup, Gelman-Rubin statistic, Hamiltonian Monte Carlo, IMS Monographs, kernel Stein discrepancy descent, Markov chain Monte Carlo, MCMC, Metropolis adjusted Langevin algorithm, non-reversible MCMC, North, PDMP, piecewise deterministic, scalable Bayesian learning, scalable MCMC, stochastic differential equation, stochastic gradient MCMC on May 11, 2025 by xi'anmostly MC’nuary [10 Jan 2025]
Posted in Books, Statistics, University life with tags CMAP, experimental design, INRIA, Issy-les-Moulineaux, January, MCMC, Mostly MC, Mostly MCMC seminar, Ocean, Paris, PariSanté campus, PDMP, Porte de Versailles, scalable MCMC, seminar, sequential Monte Carlo on January 6, 2025 by xi'anPierre Jacob awarded an ERC-Consolidator grant [congrats!]
Posted in pictures, Statistics, University life with tags Council of the European Union, coupling, ERC, ERC Consolidator Grant, ESSEC, EU, European Research Council, European Union, Markov chain Monte Carlo, MCMC, Pierre Jacob, scalable MCMC on December 6, 2024 by xi'an
end-to-end Bayesian learning [CIRM]
Posted in Books, Kids, Mountains, pictures, Running, Statistics, University life with tags Bayesian learning, calanques, call for contributions, Casa Matemática Oaxaca, CIRM, CNRS, Fall, high dimensions, Luminy, Marseille, Méditerranée, mini-courses, Parc National des Calanques, robust Bayesian methods, scalable MCMC, Société Mathématique de France, Sugiton, workshop on February 1, 2021 by xi'an
Next Fall, there will be a workshop at CIRM, Luminy, Marseilles, on Bayesian learning. It takes place 22-29 October 2021 on this wonderful campus at the border with the beautiful Parc National des Calanques, in a wonderfully renovated CIRM building and involves friends and colleagues of mine as organisers and plenary speakers. (I am not involved!, but plan to organise a scalable MCMC workshop there the year after!) The conference is well-supported and the housing fees will be minimal since the centre is also subsidized by CNRS. The deadline for contributed talks and posters is 22 March, while it is 15 June for registration. Hopefully by this time the horizon will have cleared up enough to consider traveling and meeting again. Hopefully. (In which case I will miss this wonderful conference due to other meeting and teaching commitments in the Fall.)
![Opening of a postdoctoral Research Associate in the new Data-Driven Algorithms for Data Acquisition (DataAcq) project, developing new methodology, theory, and applications across the areas of Bayesian experimental design, active learning, probabilistic deep learning, and related topics, funded by the UKRI Horizon Guarantee for an ERC Starting Grant awarded to Prof Tom Rainforth, University of Oxford. [Nota bene: I was not involved in the selection of that grant.]](https://i0.wp.com/xianblog.fr/wp-content/uploads/2025/08/temp-1.png?resize=450%2C329&ssl=1)

