Remi Bardenet

• Personal Webpage

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.
  

  @article{doucet2017markov,
    title = {On Markov chain Monte Carlo Methods for Tall Data},
    author = {Doucet, A and Holmes, CC and Bardenet, R},
    year = {2017}
  }
  

2015

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

  @article{bardenet2015markov,
    title = {On Markov chain Monte Carlo methods for tall data},
    author = {Bardenet, R{\'e}mi and Doucet, Arnaud and Holmes, Chris C.},
    journal = {arXiv preprint arXiv:1505.02827},
    year = {2015}
  }
  

• R. Bardenet , A. Doucet , C. Holmes , Markov chain Monte Carlo and tall data, preprint, 2015.
  

  @article{bardenet2015markow,
    title = {Markov chain Monte Carlo and tall data},
    author = {Bardenet, R{\'e}mi and Doucet, A and Holmes, C},
    journal = {preprint},
    year = {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.
  

  @inproceedings{bardenet2014towards,
    title = {Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach},
    author = {Bardenet, R{\'e}mi and Doucet, Arnaud and Holmes, Chris C.},
    booktitle = {Proceedings of the 31st International Conference on Machine Learning (ICML-14)},
    pages = {405--413},
    year = {2014}
  }
  

• 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.
  

  @inproceedings{bardenet2014adaptive,
    title = {An adaptive subsampling approach for MCMC inference in large datasets},
    author = {Bardenet, R{\'e}mi and Doucet, Arnaud and Holmes, Chris C.},
    booktitle = {Proceedings of The 31st International Conference on Machine Learning},
    pages = {405--413},
    year = {2014}
  }