NIPS Proceedingsβ

Shakir Mohamed

7 Papers

  • Unsupervised Learning of 3D Structure from Images (2016)
  • Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning (2015)
  • Semi-supervised Learning with Deep Generative Models (2014)
  • Expectation Propagation in Gaussian Process Dynamical Systems (2012)
  • Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression (2012)
  • Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process (2009)
  • Bayesian Exponential Family PCA (2008)