Semi-Infinite Linear Regression and Its Applications
From MaRDI portal
Publication:5071432
DOI10.1137/21M1411950OpenAlexW3158770194MaRDI QIDQ5071432
Publication date: 21 April 2022
Published in: SIAM Journal on Matrix Analysis and Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2104.05687
Iterative numerical methods for linear systems (65F10) Approximation algorithms (68W25) Direct numerical methods for linear systems and matrix inversion (65F05) Randomized algorithms (68W20)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- On the stability and accuracy of least squares approximations
- Faster least squares approximation
- Géza Freud, orthogonal polynomials and Christoffel functions. A case study
- Introductory lectures on convex optimization. A basic course.
- Asymptotics for Christoffel functions for general measures on the real line
- On the spectral problem for trivariate functions
- Shifted GMRES for oscillatory integrals
- On visual periodicity estimation using singular value decomposition
- An alternative approach to (the teaching of) rank, basis, and dimension
- On the mathematical foundations of learning
- Iterative Hessian sketch: Fast and accurate solution approximation for constrained least-squares
- The Fast Cauchy Transform and Faster Robust Linear Regression
- LSRN: A Parallel Iterative Solver for Strongly Over- or Underdetermined Systems
- Computational Advertising: Techniques for Targeting Relevant Ads
- GMRES for the Differentiation Operator
- Householder triangularization of a quasimatrix
- A fast randomized algorithm for overdetermined linear least-squares regression
- LSMR: An Iterative Algorithm for Sparse Least-Squares Problems
- Blendenpik: Supercharging LAPACK's Least-Squares Solver
- LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares
- Input Sparsity Time Low-rank Approximation via Ridge Leverage Score Sampling
- Faster Kernel Ridge Regression Using Sketching and Preconditioning
- Continuous Analogues of Krylov Subspace Methods for Differential Operators
- An Extension of MATLAB to Continuous Functions and Operators
- Optimal weighted least-squares methods
- Sharper Bounds for Regularized Data Fitting
- Twice-Ramanujan Sparsifiers
- A universal sampling method for reconstructing signals with simple Fourier transforms
- A Proximal Stochastic Gradient Method with Progressive Variance Reduction
- Continuous analogues of matrix factorizations
- An Introduction to Matrix Concentration Inequalities
- Calculating the Singular Values and Pseudo-Inverse of a Matrix
This page was built for publication: Semi-Infinite Linear Regression and Its Applications
