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Multi-Rank Sparse and Functional PCA: Manifold Optimization and Iterative Deflation Techniques

Multi-Rank Sparse and Functional PCA: Manifold Optimization and Iterative Deflation Techniques

Michael Weylandt
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Papers citing "Multi-Rank Sparse and Functional PCA: Manifold Optimization and Iterative Deflation Techniques"

5 / 5 papers shown
Title
Sparse Generalized Eigenvalue Problem via Smooth Optimization
Sparse Generalized Eigenvalue Problem via Smooth Optimization
Junxiao Song
P. Babu
Daniel P. Palomar
59
66
0
28 Aug 2014
Geodesic Monte Carlo on Embedded Manifolds
Geodesic Monte Carlo on Embedded Manifolds
Simon Byrne
Mark Girolami
90
152
0
25 Jan 2013
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
290
3,276
0
09 Jun 2012
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Matthew D. Hoffman
Andrew Gelman
162
4,295
0
18 Nov 2011
Enhancing Sparsity by Reweighted L1 Minimization
Enhancing Sparsity by Reweighted L1 Minimization
Emmanuel J. Candes
M. Wakin
Stephen P. Boyd
197
5,036
0
10 Nov 2007