Leonard Hasenclever

Leonard Hasenclever

Large scale machine learning, probabilistic inference, deep learning

I am a DPhil student in the OxWaSP centre for doctoral training supervised by Prof. Yee Whye Teh. I am interested in large scale Bayesian machine learning. For most of the last year I have been working on distributed Bayesian learning using stochastic natural gradient expectation propagation applied Bayesian neural networks. I am also interested in stochastic gradient Markov chain Monte Carlo methods.

Publications

2019

  • J. Merel , L. Hasenclever , A. Galashov , A. Ahuja , V. Pham , G. Wayne , Y. W. Teh , N. Heess , Neural Probabilistic Motor Primitives for Humanoid Control, in International Conference on Learning Representations (ICLR), 2019.
  • A. Galashov , S. M. Jayakumar , L. Hasenclever , D. Tirumala , J. Schwarz , G. Desjardins , W. M. Czarnecki , Y. W. Teh , R. Pascanu , N. Heess , Information asymmetry in KL-regularized RL, in International Conference on Learning Representations (ICLR), 2019.

2018

  • R. van den Berg , L. Hasenclever , J. M. Tomczak , M. Welling , Sylvester Normalizing Flows for Variational Inference, Mar-2018.

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

Software

2016

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