eigenvector estimation

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