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The problem of finding the missing values of a matrix given a few of its entries, called matrix completion, has gathered a lot of attention in the recent years.
Multiple emitter location and signal parameter estimation
R. Schmidt · 1986
Earlier work this paper cites.
Empirical analysis of predictive algorithms for collaborative filtering
J. S. Breese, D. Heckerman, and C. Kadie · 1998
Earlier work this paper cites.
Laplacian eigenmaps and spectral techniques for embedding and clustering
M. Belkin and P. Niyogi · 2001
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A graph-based recommender system for digital library
Z. Huang, W. Chung, T.-H. Ong, and H. Chen · 2002
Earlier work this paper cites.
Laplacian eigenmaps for dimensionality reduction and data representation
M. Belkin and P. Niyogi · 2003
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MovieLens unplugged: Experiences with an occasionally connected recommender system
B. Miller, I. Albert, S. Lam, J. Konstan, and J. Riedl · 2003
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Maximum-margin matrix factorization
N. Srebro, J. Rennie, and T. Jaakkola · 2004
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Diffusion Maps
R.R. Coifman and S. Lafon · 2006
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A fast iterative shrinkage-thresholding algorithm for linear inverse problems
Amir Beck and Marc Teboulle · 2009
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Exact matrix completion via convex optimization
E. Candès and B. Recht · 2009
Cited alongside, same era.
Learning with structured sparsity
J. Huang, Z. Zhang, and D. Metaxas · 2009
Cited alongside, same era.
Interior-Point Method for Nuclear Norm Approximation with Application to System Identification
Z. Liu and L. Vandenberghe · 2009
Cited alongside, same era.
Model-based Compressive Sensing
R.G. Baraniuk, V. Cevher, M.F. Duarte, and C. Hegde · 2010
Cited alongside, same era.
A singular value thresholding algorithm for matrix completion
J.-F. Cai, E. Candès, and Z. Shen · 2010
Cited alongside, same era.
Matrix completion with noise
E. Candès and Y. Plan · 2010
Cited alongside, same era.
Structured Variable Selection with Sparsity-Inducing Norms
R. Jenatton, J.Y. Audibert, and F. Bach · 2011
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Recommender systems with social regularization
Hao Ma, Dengyong Zhou, Chao Liu, Michael R Lyu, and Irwin King · 2011
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A simpler approach to matrix completion
B. Recht · 2011
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Matrix computations
G. Golub and C. Van Loan · 2012
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Distributed nuclear norm minimization for matrix completion
M. Mardani, G. Mateos, and G. Giannakis · 2012
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Restricted strong convexity and weighted matrix completion: Optimal bounds with noise
S. Negahban and M. J. Wainwright · 2012
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Collaborative filtering in a non-uniform world: Learning with the weighted trace norm
R. Salakhutdinov and N. Srebro · 2010
Cited alongside, same era.
Distributed optimization and statistical learning via the alternating direction method of multipliers
S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein · 2011
Cited alongside, same era.
Proximal splitting methods in signal processing
P. L. Combettes and J.-C. Pesquet · 2011
Cited alongside, same era.
S. Oymak, A. Jalali, M. Fazel, Y. C Eldar, and B. Hassibi · 2012
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On first-order algorithms for l 1/nuclear norm minimization
Y. Nesterov and A. Nemirovski · 2013
Later among the works it cites.
Nuclear norm minimization via active subspace selection
C.-J. Hsieh and P. Olsen · 2014
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