Pages that link to "Item:Q2443213"

The following pages link to Sparse PCA: optimal rates and adaptive estimation (Q2443213):

Displaying 50 items.

• The two-to-infinity norm and singular subspace geometry with applications to high-dimensional statistics (Q2328047) (← links)
• ROP: matrix recovery via rank-one projections (Q2338922) (← links)
• Sparsistency and agnostic inference in sparse PCA (Q2338928) (← links)
• Optimal estimation and rank detection for sparse spiked covariance matrices (Q2343031) (← links)
• Rate-optimal posterior contraction for sparse PCA (Q2343963) (← links)
• Do semidefinite relaxations solve sparse PCA up to the information limit? (Q2352742) (← links)
• Large covariance estimation through elliptical factor models (Q2413594) (← links)
• Convergence rates of eigenvector empirical spectral distribution of large dimensional sample covariance matrix (Q2438762) (← links)
• Sparse PCA: optimal rates and adaptive estimation (Q2443213) (← links)
• Random matrix theory in statistics: a review (Q2453609) (← links)
• On the optimality of sliced inverse regression in high dimensions (Q2656585) (← links)
• Optimal estimation for lower bound of the packing number (Q2670779) (← links)
• Factor models with local factors -- determining the number of relevant factors (Q2673197) (← links)
• An inexact Riemannian proximal gradient method (Q2701414) (← links)
• Principal component analysis in very high-dimensional spaces (Q2905103) (← links)
• Near-optimal estimation of simultaneously sparse and low-rank matrices from nested linear measurements (Q4603729) (← links)
• Recovering PCA from Hybrid-$(\ell_1,\ell_2)$ Sparse Sampling of Data Elements (Q4636984) (← links)
• (Q4998937) (← links)
• Exact Penalty Function for $\ell_{2,1}$ Norm Minimization over the Stiefel Manifold (Q5020849) (← links)
• Uniform Bounds for Invariant Subspace Perturbations (Q5146696) (← links)
• (Q5159467) (← links)
• Optimal Sparse Singular Value Decomposition for High-Dimensional High-Order Data (Q5208075) (← links)
• Perturbation bounds for eigenspaces under a relative gap condition (Q5210923) (← links)
• (Q5214193) (← links)
• Wald Statistics in high-dimensional PCA (Q5881043) (← links)
• Projected principal component analysis in factor models (Q5963521) (← links)
• Estimating structured high-dimensional covariance and precision matrices: optimal rates and adaptive estimation (Q5965313) (← links)
• Solving sparse principal component analysis with global support (Q6038649) (← links)
• Optimal Permutation Recovery in Permuted Monotone Matrix Model (Q6040695) (← links)
• Free Energy Wells and Overlap Gap Property in Sparse PCA (Q6074556) (← links)
• Eigen Selection in Spectral Clustering: A Theory-Guided Practice (Q6107194) (← links)
• Large volatility matrix analysis using global and national factor models (Q6108334) (← links)
• Distributed Estimation for Principal Component Analysis: An Enlarged Eigenspace Analysis (Q6110700) (← links)
• Integrative Factor Regression and Its Inference for Multimodal Data Analysis (Q6110734) (← links)
• Re-thinking high-dimensional mathematical statistics. Abstracts from the workshop held May 15--21, 2022 (Q6115552) (← links)
• A penalty-free infeasible approach for a class of nonsmooth optimization problems over the Stiefel manifold (Q6120009) (← links)
• Bayesian sparse spiked covariance model with a continuous matrix shrinkage prior (Q6121981) (← links)
• Sparse principal component analysis for high‐dimensional stationary time series (Q6140347) (← links)
• Euclidean Representation of Low-Rank Matrices and Its Geometric Properties (Q6166054) (← links)
• Inference for low-rank models (Q6177325) (← links)
• Long random matrices and tensor unfolding (Q6180391) (← links)
• Envelopes and principal component regression (Q6184884) (← links)
• Linearized maximum rank correlation estimation when covariates are functional (Q6536693) (← links)
• Feature grouping and sparse principal component analysis with truncated regularization (Q6548777) (← links)
• Exactly Uncorrelated Sparse Principal Component Analysis (Q6552546) (← links)
• Subexponential-time algorithms for sparse PCA (Q6566150) (← links)
• Testing Simultaneous Diagonalizability (Q6567946) (← links)
• Quantitative limit theorems and bootstrap approximations for empirical spectral projectors (Q6617183) (← links)
• Sparse and integrative principal component analysis for multiview data (Q6635573) (← links)
• Sparse Principal Component Analysis Based on Least Trimmed Squares (Q6636568) (← links)