Related references
Note: Only part of the references are listed.STOCHASTIC FIRST-ORDER METHODS WITH RANDOM CONSTRAINT PROJECTION
Mengdi Wang et al.
SIAM JOURNAL ON OPTIMIZATION (2016)
SPARSE PCA: OPTIMAL RATES AND ADAPTIVE ESTIMATION
T. Tony Cai et al.
ANNALS OF STATISTICS (2013)
SPARSE PRINCIPAL COMPONENT ANALYSIS AND ITERATIVE THRESHOLDING
Zongming Ma
ANNALS OF STATISTICS (2013)
MINIMAX SPARSE PRINCIPAL SUBSPACE ESTIMATION IN HIGH DIMENSIONS
Vincent Q. Vu et al.
ANNALS OF STATISTICS (2013)
Information-Theoretic Lower Bounds on the Oracle Complexity of Stochastic Convex Optimization
Alekh Agarwal et al.
IEEE TRANSACTIONS ON INFORMATION THEORY (2012)
Random algorithms for convex minimization problems
Angelia Nedic
MATHEMATICAL PROGRAMMING (2011)
Incremental proximal methods for large scale convex optimization
Dimitri P. Bertsekas
MATHEMATICAL PROGRAMMING (2011)
HIGH-DIMENSIONAL ANALYSIS OF SEMIDEFINITE RELAXATIONS FOR SPARSE PRINCIPAL COMPONENTS
Arash A. Amini et al.
ANNALS OF STATISTICS (2009)
On Consistency and Sparsity for Principal Components Analysis in High Dimensions
Iain M. Johnstone et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2009)
FINITE SAMPLE APPROXIMATION RESULTS FOR PRINCIPAL COMPONENT ANALYSIS: A MATRIX PERTURBATION APPROACH
Boaz Nadler
ANNALS OF STATISTICS (2008)
The adaptive lasso and its oracle properties
Hui Zou
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2006)
Incremental subgradient methods for nondifferentiable optimization
A Nedic et al.
SIAM JOURNAL ON OPTIMIZATION (2001)
Share Paper
