low-rank approximation

Minimizing the Maximal Rank CVPR 2016 Model Compression Applied to Small-Footprint Keyword Spotting Interspeech 2016 Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms ICML 2016 Revisiting the Nyström Method for Improved Large-scale Machine Learning JMLR 2016 Robust Tensor Factorization With Unknown Noise CVPR 2016 Single Pass PCA of Matrix Products NeurIPS 2016 Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations AISTATS 2016 The Variational Nystrom method for large-scale spectral problems ICML 2016 A New Retraction for Accelerating the Riemannian Three-Factor Low-Rank Matrix Completion Algorithm CVPR 2015 An Explicit Sampling Dependent Spectral Error Bound for Column Subset Selection ICML 2015 A Novel Sparsity Measure for Tensor Recovery ICCV 2015 Bilinear Heterogeneous Information Machine for RGB-D Action Recognition CVPR 2015 Collaborative Filtering with Graph Information: Consistency and Scalable Methods NeurIPS 2015 Column Selection via Adaptive Sampling NeurIPS 2015 Column Subset Selection with Missing Data via Active Sampling AISTATS 2015 Convergence rates of sub-sampled Newton methods NeurIPS 2015 CUR Algorithm for Partially Observed Matrices ICML 2015 Distributed Matrix Completion and Robust Factorization JMLR 2015 Efficient and Accurate Approximations of Nonlinear Convolutional Networks CVPR 2015 External Patch Prior Guided Internal Clustering for Image Denoising ICCV 2015 Fast and Memory Optimal Low-Rank Matrix Approximation NeurIPS 2015 Fast Randomized Singular Value Thresholding for Nuclear Norm Minimization CVPR 2015 Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis ICML 2015 Low Rank Approximation using Error Correcting Coding Matrices ICML 2015 Low-Rank Spectral Learning with Weighted Loss Functions AISTATS 2015