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Dimensionality Reduction for Stationary Time Series via Stochastic
  Nonconvex Optimization
v1v2v3v4 (latest)

Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization

6 March 2018
Minshuo Chen
Ling Yang
Mengdi Wang
T. Zhao
ArXiv (abs)PDFHTML

Papers citing "Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization"

2 / 2 papers shown
Title
Fast Non-Asymptotic Testing And Support Recovery For Large Sparse
  Toeplitz Covariance Matrices
Fast Non-Asymptotic Testing And Support Recovery For Large Sparse Toeplitz Covariance Matrices
Nayel Bettache
C. Butucea
M. Sorba
43
3
0
12 Feb 2021
AdaOja: Adaptive Learning Rates for Streaming PCA
AdaOja: Adaptive Learning Rates for Streaming PCA
Amelia Henriksen
Rachel A. Ward
77
23
0
28 May 2019
1