sparse principal component analysis

Recovering PCA and Sparse PCA via Hybrid-(l1,l2) Sparse Sampling of Data Elements JMLR 2017 Optimal Sparse Linear Encoders and Sparse PCA NeurIPS 2016 Sparse PCA via Covariance Thresholding JMLR 2016 Approximating Sparse PCA from Incomplete Data NeurIPS 2015 A Unified Framework for Outlier-Robust PCA-like Algorithms ICML 2015 Sparse PCA via Bipartite Matchings NeurIPS 2015 Stay on path: PCA along graph paths ICML 2015 Streaming Sparse Principal Component Analysis ICML 2015 Sum-of-Squares Lower Bounds for Sparse PCA NeurIPS 2015 Coordinate-descent for learning orthogonal matrices through Givens rotations ICML 2014 Finding a sparse vector in a subspace: Linear sparsity using alternating directions NeurIPS 2014 Nonnegative Sparse PCA with Provable Guarantees ICML 2014 Sparse PCA via Covariance Thresholding NeurIPS 2014 Sparse PCA with Oracle Property NeurIPS 2014 Tight convex relaxations for sparse matrix factorization NeurIPS 2014 Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time NeurIPS 2014 Complexity Theoretic Lower Bounds for Sparse Principal Component Detection COLT 2013 Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA NeurIPS 2013 Fast algorithms for sparse principal component analysis based on Rayleigh quotient iteration ICML 2013 Sparse Principal Component Analysis for High Dimensional Multivariate Time Series AISTATS 2013 Minimax Rates of Estimation for Sparse PCA in High Dimensions AISTATS 2012 Sparse Higher-Order Principal Components Analysis AISTATS 2012 Large-Scale Sparse Principal Component Analysis with Application to Text Data NeurIPS 2011 An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA NeurIPS 2010 Dense Message Passing for Sparse Principal Component Analysis AISTATS 2010