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Consistent Estimation for PCA and Sparse Regression with Oblivious Outliers.
Tommaso d'Orsi
Chih-Hung Liu
Rajai Nasser
Gleb Novikov
David Steurer
Stefan Tiegel
Published in:
NeurIPS (2021)
Keyphrases
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sparse regression
feature selection and classification
low rank
linear regression
missing data
principal component analysis
feature selection
sparse matrix
dimensionality reduction
low dimensional
face recognition
pattern recognition
high dimensionality
principal components
feature ranking