matrix decomposition

Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated NeurIPS 2016 Efficient Sampling for k-Determinantal Point Processes AISTATS 2016 LazySVD: Even Faster SVD Decomposition Yet Without Agonizing Pain NeurIPS 2016 Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis JMLR 2016 A Matrix Decomposition Perspective to Multiple Graph Matching ICCV 2015 Analysis of Robust PCA via Local Incoherence NeurIPS 2015 An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection ICML 2015 A Spectral Algorithm for Inference in Hidden semi-Markov Models AISTATS 2015 A Unified Framework for Outlier-Robust PCA-like Algorithms ICML 2015 Background Subtraction via Generalized Fused Lasso Foreground Modeling CVPR 2015 BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions NeurIPS 2015 Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis ICML 2015 Intersecting Faces: Non-negative Matrix Factorization With New Guarantees ICML 2015 Max vs Min: Tensor Decomposition and ICA with nearly Linear Sample Complexity COLT 2015 Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization ICML 2015 Online Learning of Eigenvectors ICML 2015 Simultaneous Pursuit of Sparseness and Rank Structures for Matrix Decomposition JMLR 2015 SOLD: Sub-Optimal Low-rank Decomposition for Efficient Video Segmentation CVPR 2015 Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nyström Method AISTATS 2015 A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization ACML 2014 large scale canonical correlation analysis with iterative least squares NeurIPS 2014 Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NeurIPS 2014 Non-convex Robust PCA NeurIPS 2014 Nonnegative Sparse PCA with Provable Guarantees ICML 2014 Online Optimization for Max-Norm Regularization NeurIPS 2014