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Estimation of low-rank tensors via convex optimization

Estimation of low-rank tensors via convex optimization

5 October 2010
Ryota Tomioka
K. Hayashi
H. Kashima
ArXivPDFHTML

Papers citing "Estimation of low-rank tensors via convex optimization"

3 / 3 papers shown
Title
Making Tensor Factorizations Robust to Non-Gaussian Noise
Making Tensor Factorizations Robust to Non-Gaussian Noise
Eric C. Chi
T. Kolda
58
24
0
14 Oct 2010
Super-Linear Convergence of Dual Augmented-Lagrangian Algorithm for
  Sparsity Regularized Estimation
Super-Linear Convergence of Dual Augmented-Lagrangian Algorithm for Sparsity Regularized Estimation
Ryota Tomioka
Taiji Suzuki
Masashi Sugiyama
107
84
0
20 Nov 2009
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear
  Norm Minimization
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
Benjamin Recht
Maryam Fazel
P. Parrilo
256
3,762
0
28 Jun 2007
1