singular value decomposition

Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls NeurIPS 2017 Matrix Norm Estimation from a Few Entries NeurIPS 2017 Measuring Topic Coherence through Optimal Word Buckets EACL 2017 Optimal Shrinkage of Singular Values Under Random Data Contamination NeurIPS 2017 SVD-Based Screening for the Graphical Lasso IJCAI 2017 SVD-free Convex-Concave Approaches for Nuclear Norm Regularization IJCAI 2017 SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks NeurIPS 2017 Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning JMLR 2016 Fast Stochastic Algorithms for SVD and PCA: Convergence Properties and Convexity ICML 2016 LazySVD: Even Faster SVD Decomposition Yet Without Agonizing Pain NeurIPS 2016 Low-Rank Approximation of Weighted Tree Automata AISTATS 2016 Non-Iterative Parameter Estimation for Total Variability Model Using Randomized Singular Value Decomposition Interspeech 2016 Nonparametric Canonical Correlation Analysis ICML 2016 Scalable geometric density estimation AISTATS 2016 A Stochastic PCA and SVD Algorithm with an Exponential Convergence Rate ICML 2015 Compressive spectral embedding: sidestepping the SVD NeurIPS 2015 Eigenwords: Spectral Word Embeddings JMLR 2015 FaLRR: A Fast Low Rank Representation Solver CVPR 2015 Fast and Memory Optimal Low-Rank Matrix Approximation NeurIPS 2015 Fast Randomized Singular Value Thresholding for Nuclear Norm Minimization CVPR 2015 Good Features to Track for Visual SLAM CVPR 2015 Low Rank Approximation using Error Correcting Coding Matrices ICML 2015 Low-Rank Matrix Recovery from Row-and-Column Affine Measurements ICML 2015 Low-Rank Spectral Learning with Weighted Loss Functions AISTATS 2015 Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares JMLR 2015