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eigenvector estimation

11 papers

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Co-occurring keywords

sparse principal component analysis (47) high-dimensional statistics (145) principal component analysis (316) spectral method (204) oja algorithm (3) markov chain (207) covariance matrix (101) feature selection (649) dimensionality reduction (720) transelliptical distribution (2)

Papers

Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix Models NIPS 2024
Streaming PCA for Markovian Data NIPS 2023
Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms AISTATS 2022
Bootstrapping the Error of Oja's Algorithm NIPS 2021
Estimating Rank-One Spikes from Heavy-Tailed Noise via Self-Avoiding Walks NIPS 2020
Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing NIPS 2020
Diffusion Approximations for Online Principal Component Estimation and Global Convergence NIPS 2017
Sparse Principal Component Analysis for High Dimensional Multivariate Time Series AISTATS 2013
Transelliptical Component Analysis NIPS 2012
Minimax Rates of Estimation for Sparse PCA in High Dimensions AISTATS 2012
Semiparametric Principal Component Analysis NIPS 2012