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Remi Bardenet

Remi Bardenet

Remi held a EPSRC 2020 Science postdoctoral fellowship, working with Chris Holmes on large-scale Markov chain Monte Carlo methods, motivated by biological data analysis.

He is currently Charge de recherche, CNRS & CRIStAL, Universite de Lille.

Publications

2017

  • A. Doucet , C. Holmes , R. Bardenet , On Markov chain Monte Carlo Methods for Tall Data, 2017.

2015

  • R. Bardenet , A. Doucet , C. C. Holmes , On Markov chain Monte Carlo methods for tall data, arXiv preprint arXiv:1505.02827, 2015.
  • R. Bardenet , A. Doucet , C. Holmes , Markov chain Monte Carlo and tall data, preprint, 2015.

2014

  • R. Bardenet , A. Doucet , C. C. Holmes , Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach, in Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014, 405–413.
  • R. Bardenet , A. Doucet , C. C. Holmes , An adaptive subsampling approach for MCMC inference in large datasets, in Proceedings of The 31st International Conference on Machine Learning, 2014, 405–413.