random fourier feature

On Kernel Derivative Approximation with Random Fourier Features AISTATS 2019 Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior AISTATS 2019 Sampled Softmax with Random Fourier Features NeurIPS 2019 Towards a Unified Analysis of Random Fourier Features ICML 2019 Streaming Kernel PCA with Õ(√n) Random Features NeurIPS 2018 Data-driven Random Fourier Features using Stein Effect IJCAI 2017 Gaussian Quadrature for Kernel Features NeurIPS 2017 Large-scale Online Kernel Learning with Random Feature Reparameterization IJCAI 2017 Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel IJCAI 2017 Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees ICML 2017 Relative Error Embeddings of the Gaussian Kernel Distance ALT 2017 DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression ICML 2016 Large Scale Online Kernel Learning JMLR 2016 Orthogonal Random Features NeurIPS 2016 Random Fourier Features For Operator-Valued Kernels ACML 2016 Hilbert maps: scalable continuous occupancy mapping with stochastic gradient descent RSS 2015 Optimal Rates for Random Fourier Features NeurIPS 2015 Spherical Random Features for Polynomial Kernels NeurIPS 2015 Approximate Inference in Continuous Determinantal Processes NeurIPS 2013 Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison NeurIPS 2012