eigenvalue decomposition

Non-Gaussian Component Analysis with Log-Density Gradient Estimation AISTATS 2016 Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja’s Algorithm COLT 2016 A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks NeurIPS 2015 Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition NeurIPS 2015 Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients NeurIPS 2015 Streaming Sparse Principal Component Analysis ICML 2015 Extracting Certainty from Uncertainty: Transductive Pairwise Classification from Pairwise Similarities NeurIPS 2014 Fast algorithms for sparse principal component analysis based on Rayleigh quotient iteration ICML 2013 Spectral Clustering of Graphs with General Degrees in the Extended Planted Partition Model COLT 2012 Deflation Methods for Sparse PCA NeurIPS 2008 Optimal Solutions for Sparse Principal Component Analysis JMLR 2008 Modeling homophily and stochastic equivalence in symmetric relational data NeurIPS 2007 Learning Spectral Clustering, With Application To Speech Separation JMLR 2006