tensor decomposition

Low-Rank Regression with Tensor Responses NeurIPS 2016 Online and Differentially-Private Tensor Decomposition NeurIPS 2016 Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes NeurIPS 2016 On the Expressive Power of Deep Learning: A Tensor Analysis COLT 2016 Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms ICML 2016 Provable Tensor Methods for Learning Mixtures of Generalized Linear Models AISTATS 2016 SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling NeurIPS 2016 Sublinear Time Orthogonal Tensor Decomposition NeurIPS 2016 Tensor Decomposition via Joint Matrix Schur Decomposition ICML 2016 Tensor Power Iteration for Multi-Graph Matching CVPR 2016 Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations AISTATS 2016 TenSR: Multi-Dimensional Tensor Sparse Representation CVPR 2016 Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams ICML 2015 Convergence rate of Bayesian tensor estimator and its minimax optimality ICML 2015 Deep Sparse Representation for Robust Image Registration CVPR 2015 Dynamic Texture Recognition via Orthogonal Tensor Dictionary Learning ICCV 2015 Escaping From Saddle Points — Online Stochastic Gradient for Tensor Decomposition COLT 2015 Fast and Guaranteed Tensor Decomposition via Sketching NeurIPS 2015 Feature-Independent Context Estimation for Automatic Image Annotation CVPR 2015 Geometry and Expressive Power of Conditional Restricted Boltzmann Machines JMLR 2015 Guaranteed Tensor Decomposition: A Moment Approach ICML 2015 Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm NeurIPS 2015 Learning Overcomplete Latent Variable Models through Tensor Methods COLT 2015 Low-Rank Tensor Approximation With Laplacian Scale Mixture Modeling for Multiframe Image Denoising ICCV 2015 Max vs Min: Tensor Decomposition and ICA with nearly Linear Sample Complexity COLT 2015