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We consider the problem of predicting as well as the best linear combination of d given functions in least squares regression under L^\infty constraints on the linear combination.
A method for the solution of certain non-linear problems in least squares
K. Levenberg · 1944
Earlier work this paper cites.
Solving systems of linear equations with a positive definite, symmetric but possibly ill-conditioned matrix
J. Riley · 1955
Earlier work this paper cites.
Application of ridge analysis to regression problems
A.E. Hoerl · 1962
Earlier work this paper cites.
Metric entropy and approximation
G. G. Lorentz · 1966
Earlier work this paper cites.
Regression shrinkage and selection via the lasso
R. Tibshirani · 1994
Earlier work this paper cites.
Minimum contrast estimators on sieves: exponential bounds and rates of convergence
L. Birgé and P. Massart · 1998
Earlier work this paper cites.
Model selection for regression on a fixed design
Y. Baraud · 2000
Earlier work this paper cites.
Functional aggregation for nonparametric estimation
A. Juditsky and A. Nemirovski · 2000
Earlier work this paper cites.
Lectures on probability theory and statistics. Topics in non-parametric statistics. Ecole d’Eté de Probabilités de Saint-Flour XXVIII-1998
A. Nemirovski · 2000
Earlier work this paper cites.
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