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Distance Shrinkage and Euclidean Embedding via Regularized Kernel Estimation

Distance Shrinkage and Euclidean Embedding via Regularized Kernel Estimation

Luwan Zhang
G. Wahba
M. Yuan
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Papers citing "Distance Shrinkage and Euclidean Embedding via Regularized Kernel Estimation"

4 / 4 papers shown
Title
Estimation of high-dimensional low-rank matrices
Estimation of high-dimensional low-rank matrices
Angelika Rohde
Alexandre B. Tsybakov
266
382
0
29 Dec 2009
Estimation of (near) low-rank matrices with noise and high-dimensional scaling
Estimation of (near) low-rank matrices with noise and high-dimensional scaling
S. Negahban
Martin J. Wainwright
234
571
0
27 Dec 2009
Convex Optimization Methods for Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression
Convex Optimization Methods for Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression
Zhaosong Lu
R. Monteiro
M. Yuan
140
63
0
04 Apr 2009
Measuring and testing dependence by correlation of distances
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
279
2,602
0
28 Mar 2008

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