Pages that link to "Item:Q548547"

The following pages link to Estimation of (near) low-rank matrices with noise and high-dimensional scaling (Q548547):

Displaying 50 items.

• Matrix completion with nonconvex regularization: spectral operators and scalable algorithms (Q2195855) (← links)
• High-dimensional VAR with low-rank transition (Q2195856) (← links)
• Lasso guarantees for \(\beta \)-mixing heavy-tailed time series (Q2196212) (← links)
• A multi-stage convex relaxation approach to noisy structured low-rank matrix recovery (Q2220914) (← links)
• Forecasting mortality with international linkages: a global vector-autoregression approach (Q2234751) (← links)
• Maximum likelihood estimation of sparse networks with missing observations (Q2242863) (← links)
• Sparse distance metric learning (Q2259733) (← links)
• Sparse trace norm regularization (Q2259743) (← links)
• Adaptive estimation of the rank of the coefficient matrix in high-dimensional multivariate response regression models (Q2284369) (← links)
• Recovery of simultaneous low rank and two-way sparse coefficient matrices, a nonconvex approach (Q2286374) (← links)
• Provable accelerated gradient method for nonconvex low rank optimization (Q2303662) (← links)
• Generalized high-dimensional trace regression via nuclear norm regularization (Q2323374) (← links)
• Spectral analysis of high-dimensional time series (Q2326992) (← links)
• ROP: matrix recovery via rank-one projections (Q2338922) (← links)
• Matrix estimation by universal singular value thresholding (Q2338924) (← links)
• On model selection consistency of regularized M-estimators (Q2340872) (← links)
• Bayesian sparse reduced rank multivariate regression (Q2397124) (← links)
• Regular and limiting normal cones to the graph of the subdifferential mapping of the nuclear norm (Q2416614) (← links)
• Robust multicategory support matrix machines (Q2425180) (← links)
• Asymptotic equivalence of quantum state tomography and noisy matrix completion (Q2438759) (← links)
• Sparse PCA: optimal rates and adaptive estimation (Q2443213) (← links)
• Noisy low-rank matrix completion with general sampling distribution (Q2444669) (← links)
• Sparse reduced-rank regression with covariance estimation (Q2631378) (← links)
• High-dimensional VARs with common factors (Q2688656) (← links)
• Large dimensional latent factor modeling with missing observations and applications to causal inference (Q2688665) (← links)
• Calmness of partial perturbation to composite rank constraint systems and its applications (Q2694518) (← links)
• Linear models based on noisy data and the Frisch scheme (Q2808247) (← links)
• Bootstrap-based regularization for low-rank matrix estimation (Q2834438) (← links)
• High dimensional matrix estimation with unknown variance of the noise (Q2960507) (← links)
• Median-Truncated Gradient Descent: A Robust and Scalable Nonconvex Approach for Signal Estimation (Q3296183) (← links)
• Several Classes of Stationary Points for Rank Regularized Minimization Problems (Q3300765) (← links)
• A semiparametric model for matrix regression (Q3385484) (← links)
• Dynamic Assortment Personalization in High Dimensions (Q3387950) (← links)
• Intelligent Initialization and Adaptive Thresholding for Iterative Matrix Completion: Some Statistical and Algorithmic Theory for<i>Adaptive-Impute</i> (Q3391239) (← links)
• (Q4026792) (← links)
• (Q4637041) (← links)
• FACTORISABLE MULTITASK QUANTILE REGRESSION (Q4959134) (← links)
• (Q4969185) (← links)
• Isolated calmness of solution mappings and exact recovery conditions for nuclear norm optimization problems (Q4986411) (← links)
• (Q4998964) (← links)
• Tackling Small Eigen-Gaps: Fine-Grained Eigenvector Estimation and Inference Under Heteroscedastic Noise (Q5032583) (← links)
• Iterative Collaborative Filtering for Sparse Matrix Estimation (Q5060494) (← links)
• Column $\ell_{2,0}$-Norm Regularized Factorization Model of Low-Rank Matrix Recovery and Its Computation (Q5081098) (← links)
• Entrywise Estimation of Singular Vectors of Low-Rank Matrices With Heteroskedasticity and Dependence (Q5088580) (← links)
• High-dimensional dynamic systems identification with additional constraints (Q5093707) (← links)
• Bayesian singular value regularization via a cumulative shrinkage process (Q5093737) (← links)
• Perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising (Q5101092) (← links)
• Learning Markov Models Via Low-Rank Optimization (Q5106374) (← links)
• (Q5136293) (← links)
• Matrix Denoising for Weighted Loss Functions and Heterogeneous Signals (Q5162624) (← links)