Joaquin Quiñonero Candela, Carl Edward Rasmussen, and Christopher K. I. Williams
A wealth of computationally efficient approximation methods for Gaussian process regression have been recently proposed. We give a unifying overview of sparse approximations, following Quiñonero-Candela and Rasmussen (2005), and a brief review of approximate matrix-vector multiplication methods.
Publisher MIT Press
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