Recent Talks

  1. Université de Montréal, January 2018. Apprentissage statistique à l’ére du Big Data : stabilité et effcacité d’approximations de certains algorithmes slides

  2. University College Dublin, Working Group in Statistical Learning, November 2017. Noisy Markov chain Monte Carlo:efficient algorithms for approximate Bayesian inference slides

  3. Glasgow University, Statistics Seminar Series, February 2017. Informed Sub-Sampling MCMC: Approximated Bayesian Inference for Large Datasets slides

  4. University College Dublin, Working Group in Statistical Learning, November 2016. Some remarks on spectral analysis of Markov chains: from Protein Dynamics to MCMC algorithms slides

  5. Insight Seminar, June 2015. Light and Widely Applicable MCMC: Bayesian inference for large datasets slides

  6. Université Évry Val d'Éssone, April 2015. Échantillonnage par chaine de Markov adaptative : une approche incrémentale slides (in French)

  7. Trinity College Dublin Seminar, November 2014. Adaptive Incremental Mixture Markov chain Monte Carlo slides

  8. UCD Seminar, September 2014. Bayesian inference for Big data problems slides

  9. UCD Seminar, February 2014. Stochastic Online EM: theory and implementation slides

  10. Université Paris 6, February 2014. PhD Viva slides (in French)

  11. UCD Seminar, February 2014. Peskun ordering for non homogeneous Markov chains slides