kernel approximation

Approximate Inference in Continuous Determinantal Processes NeurIPS 2013 Fastfood - Computing Hilbert Space Expansions in loglinear time ICML 2013 The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification ICML 2013 Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison NeurIPS 2012 Phoneme Classification using Constrained Variational Gaussian Process Dynamical System NeurIPS 2012 Random Feature Maps for Dot Product Kernels AISTATS 2012 Approximate Tree Kernels JMLR 2010 On the Impact of Kernel Approximation on Learning Accuracy AISTATS 2010 Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning NeurIPS 2008 Random Features for Large-Scale Kernel Machines NeurIPS 2007 On the Nystrom Method for Approximating a Gram Matrix for Improved Kernel-Based Learning JMLR 2005 Knowledge-Based Kernel Approximation JMLR 2004