random feature

Dual Space Gradient Descent for Online Learning NeurIPS 2016 Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning CVPR 2016 Learning Kernels with Random Features NeurIPS 2016 Random Features for Sparse Signal Classification CVPR 2016 Recycling Randomness with Structure for Sublinear time Kernel Expansions ICML 2016 Learning with Group Invariant Features: A Kernel Perspective. NeurIPS 2015 Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients NeurIPS 2015 Spherical Random Features for Polynomial Kernels NeurIPS 2015 Randomized Nonlinear Component Analysis ICML 2014 Random Laplace Feature Maps for Semigroup Kernels on Histograms CVPR 2014 Scalable Kernel Methods via Doubly Stochastic Gradients NeurIPS 2014 Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space NeurIPS 2014 The limits of squared Euclidean distance regularization NeurIPS 2014 Correlated random features for fast semi-supervised learning NeurIPS 2013 Random Feature Maps for Dot Product Kernels AISTATS 2012 Scrambled Objects for Least-Squares Regression NeurIPS 2010 Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning NeurIPS 2008 Random Features for Large-Scale Kernel Machines NeurIPS 2007