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Low-rank approximation
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#	Item
1	A Quadratically Convergent Algorithm for Structured Low-Rank Approximation ´ Eric Schost1 and Pierre-Jean Spaenlehauer2 1 Add to Reading List Source URL: cs.uwaterloo.ca Language: English - Date: 2015-10-14 23:46:10
2	An Efficient, Sparsity-Preserving, Online Algorithm for Low-Rank Approximation David Anderson * 1 Ming Gu * 1 Abstract Add to Reading List Source URL: proceedings.mlr.press - Date: 2018-02-06 15:06:57
3	Low-Rank Tensor Approximation with Laplacian Scale Mixture Modeling for Multiframe Image Denoising Weisheng Dong Xidian University, China Guangyu Li Add to Reading List Source URL: www.cv-foundation.org - Date: 2015-10-24 15:00:46
4	ridge leverage scores for low-rank matrix approximation Michael B. Cohen, Cameron Musco, Christopher Musco Massachusetts Institute of Technology Add to Reading List Source URL: www.chrismusco.com - Date: 2016-11-15 09:52:34
5	JMLR: Workshop and Conference Proceedings vol 40:1–29, 2015 On the Complexity of Learning with Kernels Nicol`o Cesa-Bianchi NICOLO . CESA - BIANCHI @ UNIMI . IT Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:35 Algebra Mathematics Numerical linear algebra Linear algebra Functional analysis Statistical classification Dimension reduction Kernel Support vector machine Matrix Low-rank approximation Reproducing kernel Hilbert space
6	I will discuss recent work on randomized algorithms for low-rank approximation and principal component analysis (PCA). The talk will focus on efforts that move beyond the extremely fast, but relatively crude approximatio Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Algebra Mathematics Multivariate statistics Numerical analysis Numerical linear algebra Iterative methods Dimension reduction Principal component analysis Singular value decomposition Stochastic optimization Nonlinear dimensionality reduction Sparse dictionary learning
7	Neural Word Embedding as Implicit Matrix Factorization Omer Levy Department of Computer Science Bar-Ilan University Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-12-02 20:43:40 Algebra Linear algebra Mathematics Numerical linear algebra Matrix theory Singular value decomposition Dimension reduction Matrix Low-rank approximation Singular value Pointwise mutual information Factorization
8	I will discuss recent work on randomized algorithms for low-rank approximation and principal component analysis (PCA). The talk will focus on efforts that move beyond the extremely fast, but relatively crude approximatio Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-06-23 15:50:48 Algebra Mathematics Multivariate statistics Numerical analysis Dimension reduction Iterative methods Numerical linear algebra Principal component analysis Singular value decomposition Stochastic optimization Algorithm Sparse dictionary learning
9	ALGORITHMS FOR SIMULTANEOUS SPARSE APPROXIMATION PART II: CONVEX RELAXATION JOEL A. TROPP Abstract. A simultaneous sparse approximation problem requests a good approximation of several input signals at once using differe Add to Reading List Source URL: users.cms.caltech.edu Language: English - Date: 2007-09-11 17:01:57 Numerical linear algebra Sparse approximation Matrix Linear algebra Low-rank approximation
10	Low Rank Approximation and Regression in Input Sparsity Time David Woodruff IBM Almaden Joint work with Ken Clarkson (IBM Almaden) Add to Reading List Source URL: mmds-data.org Language: English - Date: 2016-03-09 01:30:25 Regression analysis Econometrics Least squares Actuarial science

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