alternating minimization

LazySVD: Even Faster SVD Decomposition Yet Without Agonizing Pain NeurIPS 2016 Low-Rank and Sparse Structure Pursuit via Alternating Minimization AISTATS 2016 Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning NeurIPS 2016 Multi-task Sparse Structure Learning with Gaussian Copula Models JMLR 2016 Recovery guarantee of weighted low-rank approximation via alternating minimization ICML 2016 Tractable and Scalable Schatten Quasi-Norm Approximations for Rank Minimization AISTATS 2016 3D Shape Estimation From 2D Landmarks: A Convex Relaxation Approach CVPR 2015 Alternating Minimization for Regression Problems with Vector-valued Outputs NeurIPS 2015 A Nonconvex Optimization Framework for Low Rank Matrix Estimation NeurIPS 2015 Collaborative Filtering with Graph Information: Consistency and Scalable Methods NeurIPS 2015 Convex Learning of Multiple Tasks and their Structure ICML 2015 Diversity-Induced Multi-View Subspace Clustering CVPR 2015 Multi-Image Matching via Fast Alternating Minimization ICCV 2015 Non-convex Statistical Optimization for Sparse Tensor Graphical Model NeurIPS 2015 Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons ICML 2015 Rectified Factor Networks NeurIPS 2015 Simple, Efficient, and Neural Algorithms for Sparse Coding COLT 2015 Alternating Minimization for Mixed Linear Regression ICML 2014 Collaborative Ranking for Local Preferences AISTATS 2014 Fast matrix completion without the condition number COLT 2014 Learning Distributed Representations for Structured Output Prediction NeurIPS 2014 Learning Mixtures of Discrete Product Distributions using Spectral Decompositions COLT 2014 Learning Sparsely Used Overcomplete Dictionaries COLT 2014 Provable Tensor Factorization with Missing Data NeurIPS 2014 QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NeurIPS 2014