Thibaut Lienart

Thibaut Lienart

Inference on graphical models, expectation propagation, particle methods

I am a fourth year DPhil student co-supervised by Prof. Yee Whye Teh and Prof. Arnaud Doucet. I am interested in inference on graphical models, from the computational as well as the application side. I have worked on using expectation propagation to help with particle belief propagation as well as to help with distributed learning. I am now looking at rejection free samplers.

Publications

2015

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