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Set structured global empirical risk minimizers are rate optimal in
  general dimensions

Set structured global empirical risk minimizers are rate optimal in general dimensions

30 May 2019
Q. Han
ArXivPDFHTML

Papers citing "Set structured global empirical risk minimizers are rate optimal in general dimensions"

4 / 4 papers shown
Title
Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation
  of Multivariate Log-concave Densities
Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation of Multivariate Log-concave Densities
Timothy Carpenter
Ilias Diakonikolas
Anastasios Sidiropoulos
Alistair Stewart
54
24
0
28 Feb 2018
Global rates of convergence in log-concave density estimation
Global rates of convergence in log-concave density estimation
Arlene K. H. Kim
R. Samworth
66
105
0
08 Apr 2014
A new perspective on least squares under convex constraint
A new perspective on least squares under convex constraint
S. Chatterjee
104
117
0
04 Feb 2014
Nonparametric estimation of multivariate convex-transformed densities
Nonparametric estimation of multivariate convex-transformed densities
Arseni Seregin
J. Wellner
84
69
0
21 Nov 2009
1