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All publications by Cédric Archambeau
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Sparse Bayesian Multi-Task Learning
Shengbo Guo, Onno Zoeter and Cédric Archambeau
Advances in Neural Information Processing Systems 24, 2011


Robust Bayesian Matrix Factorisation
Balaji Lakshminarayanan, Guillaume Bouchard and Cédric Archambeau
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS-11), 2011


A stochastic memoizer for sequence data
Frank Wood, Cédric Archambeau, Jan Gasthaus, Lancelot James and Yee W. Teh
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Sparse probabilistic projections
Cédric Archambeau and Francis R. Bach
Advances in Neural Information Processing Systems 21, 2008


Variational Inference for Diffusion Processes
Cédric Archambeau, Manfred Opper, Yuan Shen, Dan Cornford and John S. Shawe-taylor
Advances in Neural Information Processing Systems 20, 2007


Robust probabilistic projections
Cédric Archambeau, Nicolas Delannay and Michel Verleysen
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006