Variational Learning of Inducing Variables in Sparse Gaussian Processes
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[1] Alexander J. Smola,et al. Sparse Greedy Gaussian Process Regression , 2000, NIPS.
[2] Bernhard Schölkopf,et al. Sparse Greedy Matrix Approximation for Machine Learning , 2000, International Conference on Machine Learning.
[3] Christopher K. I. Williams,et al. Using the Nyström Method to Speed Up Kernel Machines , 2000, NIPS.
[4] Lehel Csató,et al. Sparse On-Line Gaussian Processes , 2002, Neural Computation.
[5] Anton Schwaighofer,et al. Transductive and Inductive Methods for Approximate Gaussian Process Regression , 2002, NIPS.
[6] Neil D. Lawrence,et al. Fast Sparse Gaussian Process Methods: The Informative Vector Machine , 2002, NIPS.
[7] Neil D. Lawrence,et al. Fast Forward Selection to Speed Up Sparse Gaussian Process Regression , 2003, AISTATS.
[8] Matthias W. Seeger,et al. Bayesian Gaussian process models : PAC-Bayesian generalisation error bounds and sparse approximations , 2003 .
[9] Carl E. Rasmussen,et al. A Unifying View of Sparse Approximate Gaussian Process Regression , 2005, J. Mach. Learn. Res..
[10] Zoubin Ghahramani,et al. Sparse Gaussian Processes using Pseudo-inputs , 2005, NIPS.
[11] M. Opper. Sparse Online Gaussian Processes , 2008 .
[12] Michalis K. Titsias,et al. Variational Model Selection for Sparse Gaussian Process Regression , 2008 .
[13] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.