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All publications by Shakir Mohamed
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Variational Inference with Normalizing Flows
Danilo Rezende and Shakir Mohamed
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning
Shakir Mohamed and Danilo J. Rezende
Advances in Neural Information Processing Systems 28, 2015


Stochastic Backpropagation and Approximate Inference in Deep Generative Models
Danilo J. Rezende, Shakir Mohamed and Daan Wierstra
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Semi-supervised Learning with Deep Generative Models
Diederik P. Kingma, Shakir Mohamed, Danilo J. Rezende and Max Welling
Advances in Neural Information Processing Systems 27, 2014


Adaptive Hamiltonian and Riemann Manifold Monte Carlo
Ziyu Wang, Shakir Mohamed and De Nando
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression
Emtiyaz Khan, Shakir Mohamed and Kevin P. Murphy
Advances in Neural Information Processing Systems 25, 2012


Expectation Propagation in Gaussian Process Dynamical Systems
Marc Deisenroth and Shakir Mohamed
Advances in Neural Information Processing Systems 25, 2012


Bayesian and L1 Approaches for Sparse Unsupervised Learning
Shakir Mohamed, Zoubin Ghahramani and Katherine A. Heller
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
Mohammad E. Khan, Shakir Mohamed, Benjamin M. Marlin and Kevin P. Murphy
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models
David Buchman, Mark W. Schmidt, Shakir Mohamed, David Poole and Nando D. Freitas
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS-12), 2012


Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process
Finale Doshi-velez, Shakir Mohamed, Zoubin Ghahramani and David A. Knowles
Advances in Neural Information Processing Systems 22, 2009


Bayesian Exponential Family PCA
Shakir Mohamed, Zoubin Ghahramani and Katherine A. Heller
Advances in Neural Information Processing Systems 21, 2008