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 (To Appear), 2017.
  • X Lu, V Perrone, L Hasenclever, Y W Teh, S J Vollmer, Relativistic Monte Carlo, in AISTATS, 2017.
  • T. Nagapetyan, A. B. Duncan, L. Hasenclever, S. J. Vollmer, L. Szpruch, K. Zygalakis, The True Cost of Stochastic Gradient Langevin Dynamics, Jun-2017.

2014

  • W. Hordijk, L. Hasenclever, J. Gao, D. Mincheva, J. Hein, An investigation into irreducible autocatalytic sets and power law distributed catalysis, Natural Computing, vol. 13, no. 3, pp. 287–296, 2014.

2013

  • S. S. Pegler, K. N. Kowal, L. Hasenclever, M. G. Worster, Lateral controls on grounding-line dynamics, Journal of Fluid Mechanics, vol. 722, no. 5929, p. R1, May 2013.