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All publications by Mohammad E. Khan
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Kullback-Leibler Proximal Variational Inference
Mohammad E. Khan, Pierre Baque, Françcois Fleuret and Pascal Fua
Advances in Neural Information Processing Systems 28, 2015


Decoupled Variational Gaussian Inference
Mohammad E. Khan
Advances in Neural Information Processing Systems 27, 2014


Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models
Mohammad E. Khan, Aleksandr Aravkin, Michael Friedlander and Matthias Seeger
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


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


Variational bounds for mixed-data factor analysis
Mohammad E. Khan, Guillaume Bouchard, Kevin P. Murphy and Benjamin M. Marlin
Advances in Neural Information Processing Systems 23, 2010