Thibaut Lienart

Thibaut Lienart

Inference on graphical models, expectation propagation, particle methods

I’m currently a Postdoc at the University of Melbourne in adversarial ML with Prof. Ben Rubinstein. I completed my DPhil in 2018, co-supervised by Prof. Yee Whye Teh and Prof. Arnaud Doucet, my thesis was on inference methods for graphical models.

Publications

2017

  • L. Hasenclever , S. Webb , T. Lienart , S. Vollmer , B. Lakshminarayanan , C. Blundell , Y. W. Teh , Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server, Journal of Machine Learning Research (JMLR), Oct. 2017.
    Project: sgmcmc
  • L. Hasenclever , S. Webb , T. Lienart , S. Vollmer , B. Lakshminarayanan , C. Blundell , Y. W. Teh , Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server, Journal of Machine Learning Research, vol. 18, no. 106, 1–37, 2017.
    Project: sgmcmc

2015

  • T. Lienart , Y. W. Teh , A. Doucet , Expectation Particle Belief Propagation, in Advances in Neural Information Processing Systems (NeurIPS), 2015.
    Project: sgmcmc

Software

2016

  • L. Hasenclever , S. Webb , T. Lienart , S. Vollmer , B. Lakshminarayanan , C. Blundell , Y. W. Teh , Posterior Server. 2016.
    Project: sgmcmc