Fetching the paper…
Reading the bibliography…
Regularization by the sum of singular values, also referred to as the trace norm, is a popular technique for estimating low rank rectangular matrices.
Probability inequalities for sums of bounded random variables
W. Hoeffding · 1963
Earlier work this paper cites.
Perturbation Theory for Linear Operators
T. Kato · 1966
Earlier work this paper cites.
Martingale Limit Theory and Its Application
P. Hall and C. C. Heyde · 1980
Earlier work this paper cites.
Real and complex analysis, Third edition
W. Rudin · 1987
Earlier work this paper cites.
Matrix Perturbation Theory
G. W. Stewart and J. Sun · 1990
Earlier work this paper cites.
On the asymptotics of constrained m m -estimation
C. J. Geyer · 1994
Earlier work this paper cites.
Regression shrinkage and selection via the lasso
R. Tibshirani · 1994
Earlier work this paper cites.
On the asymptotics of convex stochastic optimization
C. J. Geyer · 1996
Earlier work this paper cites.
Matrix Computations
G. H. Golub and C. F. Van Loan · 1996
Earlier work this paper cites.
Matrix Differential Calculus with Applications in Statistics and Econometrics
J. R. Magnus and H. Neudecker · 1998
Earlier work this paper cites.
Asymptotic Statistics
A. W. Van der Vaart · 1998
Earlier work this paper cites.
Convex Analysis and Nonlinear Optimization
J. M. Borwein and A. S. Lewis · 2000
Cited alongside, same era.
Asymptotics for lasso-type estimators
W. Fu and K. Knight · 2000
Cited alongside, same era.
A rank minimization heuristic with application to minimum order system approximation
M. Fazel, H. Hindi, and S. P. Boyd · 2001
Cited alongside, same era.
Twice differentiable spectral functions
A. S. Lewis and H. S. Sendov · 2002
Cited alongside, same era.
Numerical Optimization Theoretical and Practical Aspects
J. F. Bonnans, J. C. Gilbert, C. Lemaréchal, and C. A. Sagastizábal · 2003
Cited alongside, same era.
Convex Optimization
S. Boyd and L. Vandenberghe · 2003
Cited alongside, same era.
Mathematical Statistics
Maximum-margin matrix factorization
N. Srebro, J. D. M. Rennie, and T. S. Jaakkola · 2005
Later among the works it cites.
Low-rank matrix factorization with attributes
J. Abernethy, F. Bach, T. Evgeniou, and J.-P. Vert · 2006
Later among the works it cites.
Lasso-type recovery of sparse representations for high-dimensional data
N. Meinshausen and B. Yu · 2006
Later among the works it cites.
On model selection consistency of lasso
P. Zhao and B. Yu · 2006
Later among the works it cites.
The adaptive lasso and its oracle properties
H. Zou · 2006
Later among the works it cites.
Uncovering shared structures in multiclass classification
Y. Amit, M. Fink, N. Srebro, and S. Ullman · 2007
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
J. Shao · 2003
Cited alongside, same era.
Computing regularization paths for learning multiple kernels
F. R. Bach, R. Thibaux, and M. I. Jordan · 2004
Cited alongside, same era.
Least angle regression
B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani · 2004
Cited alongside, same era.
Fast maximum margin matrix factorization for collaborative prediction
J. D. M. Rennie and N. Srebro · 2005
Cited alongside, same era.
Multi-task feature learning
A. Argyriou, T. Evgeniou, and M. Pontil · 2007
Closest in time.
Consistency of the group lasso and multiple kernel learning
F. Bach · 2007
Closest in time.
Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization
B. Recht, M. Fazel, and P. A. Parrilo · 2007
Closest in time.
On the non-negative garrotte estimator
M. Yuan and Y. Lin · 2007
Closest in time.