Pages that link to "Item:Q3073999"

The following pages link to A fast randomized algorithm for overdetermined linear least-squares regression (Q3073999):

Displaying 50 items.

• Random design analysis of ridge regression (Q404306) (← links)
• Random reordering in SOR-type methods (Q522242) (← links)
• Faster least squares approximation (Q623334) (← links)
• Randomized LU decomposition (Q1690696) (← links)
• Fast model-fitting of Bayesian variable selection regression using the iterative complex factorization algorithm (Q1738154) (← links)
• New tests of uniformity on the compact classical groups as diagnostics for weak-\(^{*}\) mixing of Markov chains (Q1740534) (← links)
• Unbiased predictive risk estimation of the Tikhonov regularization parameter: convergence with increasing rank approximations of the singular value decomposition (Q2009116) (← links)
• Randomized linear algebra for model reduction. II: Minimal residual methods and dictionary-based approximation (Q2027783) (← links)
• Multiplicative perturbation bounds for multivariate multiple linear regression in Schatten \(p\)-norms (Q2029823) (← links)
• Pass-efficient methods for compression of high-dimensional turbulent flow data (Q2123807) (← links)
• Surface temperature monitoring in liver procurement via functional variance change-point analysis (Q2179949) (← links)
• A randomized method for solving discrete ill-posed problems (Q2263217) (← links)
• Randomized core reduction for discrete ill-posed problem (Q2309262) (← links)
• Randomized generalized singular value decomposition (Q2667344) (← links)
• Tikhonov regularization and randomized GSVD (Q2813331) (← links)
• Randomized alternating least squares for canonical tensor decompositions: application to a PDE with random data (Q2818256) (← links)
• LSRN: A parallel iterative solver for strongly over- or underdetermined systems (Q2875015) (← links)
• Optimal CUR Matrix Decompositions (Q2968164) (← links)
• General Error Estimates for the Longstaff–Schwartz Least-Squares Monte Carlo Algorithm (Q3387908) (← links)
• Compressed and Penalized Linear Regression (Q3391428) (← links)
• Fast Spatial Gaussian Process Maximum Likelihood Estimation via Skeletonization Factorizations (Q4601605) (← links)
• (Q4633014) (← links)
• A Practical Randomized CP Tensor Decomposition (Q4643335) (← links)
• Optimal Subsampling for Large Sample Logistic Regression (Q4962448) (← links)
• Kaczmarz-Type Inner-Iteration Preconditioned Flexible GMRES Methods for Consistent Linear Systems (Q4997391) (← links)
• Estimating Leverage Scores via Rank Revealing Methods and Randomization (Q5006452) (← links)
• Tensor-Structured Sketching for Constrained Least Squares (Q5021024) (← links)
• Semi-Infinite Linear Regression and Its Applications (Q5071432) (← links)
• Some Comments on Preconditioning for Normal Equations and Least Squares (Q5094915) (← links)
• Stochastic Reformulations of Linear Systems: Algorithms and Convergence Theory (Q5112239) (← links)
• Structured Random Sketching for PDE Inverse Problems (Q5146630) (← links)
• Kaczmarz-Type Inner-Iteration Preconditioned Flexible GMRES Methods for Consistent Linear Systems (Q5161747) (← links)
• (Q5171732) (← links)
• Pass-Efficient Randomized Algorithms for Low-Rank Matrix Approximation Using Any Number of Views (Q5194597) (← links)
• Subspace Iteration Randomization and Singular Value Problems (Q5254699) (← links)
• Fast Randomized Iteration: Diffusion Monte Carlo through the Lens of Numerical Linear Algebra (Q5348329) (← links)
• Sketching for Principal Component Regression (Q5380270) (← links)
• Randomized numerical linear algebra: Foundations and algorithms (Q5887823) (← links)
• Generative modeling via tensor train sketching (Q6051158) (← links)
• Simpler is better: a comparative study of randomized pivoting algorithms for CUR and interpolative decompositions (Q6052452) (← links)
• M-IHS: an accelerated randomized preconditioning method avoiding costly matrix decompositions (Q6083984) (← links)
• Randomized Sketching for Krylov Approximations of Large-Scale Matrix Functions (Q6116663) (← links)
• Solution of the EEG inverse problem by random dipole sampling (Q6136776) (← links)
• Preconditioners for Krylov subspace methods: An overview (Q6144043) (← links)
• Fast randomized numerical rank estimation for numerically low-rank matrices (Q6154411) (← links)
• Randomized Nyström Preconditioning (Q6166051) (← links)
• XT<scp>race</scp>: Making the Most of Every Sample in Stochastic Trace Estimation (Q6180350) (← links)
• Randomized low-rank approximation methods for projection-based model order reduction of large nonlinear dynamical problems (Q6555374) (← links)
• Fast and accurate randomized algorithms for linear systems and eigenvalue problems (Q6561643) (← links)
• \texttt{pylspack}: parallel algorithms and data structures for sketching, column subset selection, regression, and leverage scores (Q6599985) (← links)