nystrom method

Error Analysis of Generalized Nyström Kernel Regression NeurIPS 2016 Fast DPP Sampling for Nystrom with Application to Kernel Methods ICML 2016 Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning CVPR 2016 Large Scale Online Kernel Learning JMLR 2016 Revisiting the Nyström Method for Improved Large-scale Machine Learning JMLR 2016 SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions JMLR 2016 Streaming Kernel Principal Component Analysis AISTATS 2016 The Variational Nystrom method for large-scale spectral problems ICML 2016 Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition JMLR 2016 Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nyström Method AISTATS 2015 Efficient Algorithms and Error Analysis for the Modified Nystrom Method AISTATS 2014 Fast Prediction for Large-Scale Kernel Machines NeurIPS 2014 Approximate Inference in Continuous Determinantal Processes NeurIPS 2013 Correlated random features for fast semi-supervised learning NeurIPS 2013 Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling JMLR 2013 On Compact Codes for Spatially Pooled Features ICML 2013 Fast Approximation of Matrix Coherence and Statistical Leverage JMLR 2012 Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison NeurIPS 2012 On the Impact of Kernel Approximation on Learning Accuracy AISTATS 2010 Ensemble Nystrom Method NeurIPS 2009 Semi-supervised Learning using Sparse Eigenfunction Bases NeurIPS 2009 On the Nystrom Method for Approximating a Gram Matrix for Improved Kernel-Based Learning JMLR 2005