conftrace_

low rank approximation

47 papers

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Also known as

LRA

Co-occurring keywords

low-rank approximation (323) matrix factorization (529) matrix approximation (89) matrix completion (356) dimensionality reduction (720) tensor decomposition (375) convex optimization (1321) numerical linear algebra (35) nuclear norm (79) streaming algorithm (131)

Papers

Regularized Weighted Low Rank Approximation NIPS 2019
Leveraging Well-Conditioned Bases: Streaming and Distributed Summaries in Minkowski $p$-Norms ICML 2018
Subspace Embedding and Linear Regression with Orlicz Norm ICML 2018
Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering ICML 2018
Approximation Algorithms for $\ell_0$-Low Rank Approximation NIPS 2017
Co-Occurring Directions Sketching for Approximate Matrix Multiply AISTATS 2017
A Simple and Provable Algorithm for Sparse Diagonal CCA ICML 2016
Tensor vs. Matrix Methods: Robust Tensor Decomposition under Block Sparse Perturbations AISTATS 2016
Minimizing the Maximal Rank CVPR 2016
Single Pass PCA of Matrix Products NIPS 2016
Supervised Descriptor Learning for Multi-Output Regression CVPR 2015
Collaborative Filtering with Graph Information: Consistency and Scalable Methods NIPS 2015
Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning NIPS 2014
Curvilinear Structure Tracking by Low Rank Tensor Approximation with Model Propagation CVPR 2014
Low Rank Approximation Lower Bounds in Row-Update Streams NIPS 2014
Robust Low Rank Kernel Embeddings of Multivariate Distributions NIPS 2013
Sparse Additive Text Models with Low Rank Background NIPS 2013
Unsupervised Spectral Learning of Finite State Transducers NIPS 2013
Low-Rank Matrix and Tensor Completion via Adaptive Sampling NIPS 2013
Factoring nonnegative matrices with linear programs NIPS 2012
Learning with the weighted trace-norm under arbitrary sampling distributions NIPS 2011
Fluid Dynamics Models for Low Rank Discriminant Analysis AISTATS 2010