Shakir Mohamed

Post-doctoral Researcher in
Statistical Machine Learning

Canadian Institute for Advanced Research Junior Fellow at the University of British Columbia

 

Published Work

M. E. Khan, S. Mohamed, K. P. Muprhy. Fast Bayesian Inference for Non-conjugate Gaussian Process Regression. Advances in Neural Information Processing Systems, NIPS 2012.

M. P. Deisenroth, S. Mohamed. Expectation Propagation in Gaussian Process Dynamical Systems. Advances in Neural Information Processing Systems, NIPS 2012. »ArXiv

M. E. Khan, S. Mohamed, K. P. Muprhy. Large-scale Approximate Bayesian Inference for Exponential Family Latent Gaussian Models. Conference of the International Society for Bayesian Analysis, ISBA 2012.

S. Mohamed, K. Heller and Z. Ghahramani. Bayesian and L1 Approaches for Sparse Unsupervised Learning. ICML 2012. »Abstract »PDF»ArXiv

M. E. Khan, S. Mohamed, B. M. Marlin and K. P. Murphy. A stick-breaking likelihood for categorical data analysis with latent Gaussian models. AISTATS, April 2012. »Abstract »PDF »Code and Examples

D. Buchmann, M.Schmidt, S. Mohamed, D. Poole, N. de Freitas. On Sparse, Spectral and Other Parameterizations of Binary Probabilistic Models. AISTATS, April 2012. »Abstract »PDF

S. Mohamed. Generalised Bayesian Matrix Factorisation Models. PhD Thesis, Department of Engineering. University of Cambridge. February 2011. »Abstract »PDF »BibTeX »cam.ac.uk

S. Mohamed, K. Heller and Z. Ghahramani. Sparse Exponential Family Latent Variable Models. NIPS Workshop on Sparsity. 2010.

F. Doshi-Velez, D. Knowles, S. Mohamed and Z. Ghahramani. Large Scale Non-parametric Inference: Data Parallelisation in the Indian Buffet Process. In Proceedings of the 22nd Conference on Advances in Neural Information Processing Systems (NIPS 22). December 2009. »Abstract »PDF »BibTeX

M. N. Schmidt and S. Mohamed. Probabilistic Non-negative Tensor Factorisation using Markov Chain Monte Carlo. In proceedings of the 17th European Signal Processing Conference (EUSIPCO 17). August 2009. »Abstract »PDF »BibTeX

S. Mohamed, K. Heller and Z. Ghahramani. Bayesian Exponential Family PCA. In Proceedings of the 21st Conference on Advances in Neural Information Processing Systems (NIPS 21). December 2008. »Abstract »PDF »BibTeX