low-rank tensor

Low-Rank Tensor Completion With a New Tensor Nuclear Norm Induced by Invertible Linear Transforms CVPR 2019 Nonconvex Low-Rank Tensor Completion from Noisy Data NeurIPS 2019 Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression JMLR 2019 The Sup-norm Perturbation of HOSVD and Low Rank Tensor Denoising JMLR 2019 T-Net: Parametrizing Fully Convolutional Nets With a Single High-Order Tensor CVPR 2019 Efficient Low-rank Multimodal Fusion With Modality-Specific Factors ACL 2018 Missing Slice Recovery for Tensors Using a Low-Rank Model in Embedded Space CVPR 2018 Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration CVPR 2018 Exact tensor completion with sum-of-squares COLT 2017 Near Optimal Sketching of Low-Rank Tensor Regression NeurIPS 2017 Optimal Recovery of Tensor Slices AISTATS 2017 Low-rank tensor completion: a Riemannian manifold preconditioning approach ICML 2016 Scalable and Sound Low-Rank Tensor Learning AISTATS 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 Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm NeurIPS 2015 Low-Rank Tensor Constrained Multiview Subspace Clustering ICCV 2015 Sparse and Low-Rank Tensor Decomposition NeurIPS 2015 Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion NeurIPS 2014 Provable Tensor Factorization with Missing Data NeurIPS 2014 Robust Tensor Decomposition with Gross Corruption NeurIPS 2014 Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery ICML 2014 A New Convex Relaxation for Tensor Completion NeurIPS 2013 Convex Tensor Decomposition via Structured Schatten Norm Regularization NeurIPS 2013 Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors NeurIPS 2013