Pages that link to "Item:Q3117600"

The following pages link to Randomized Algorithms for Matrices and Data (Q3117600):

Displaying 50 items.

• Convexification with Bounded Gap for Randomly Projected Quadratic Optimization (Q5080508) (← links)
• Randomized Quaternion Singular Value Decomposition for Low-Rank Matrix Approximation (Q5094223) (← links)
• Subspaces Analysis for Random Projection UTV Framework (Q5099408) (← links)
• RidgeSketch: A Fast Sketching Based Solver for Large Scale Ridge Regression (Q5099418) (← links)
• Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition (Q5099421) (← links)
• The Computation of Low Multilinear Rank Approximations of Tensors via Power Scheme and Random Projection (Q5112244) (← links)
• Randomized Discrete Empirical Interpolation Method for Nonlinear Model Reduction (Q5112642) (← links)
• (Q5125449) (← links)
• Random Sampling and Efficient Algorithms for Multiscale PDEs (Q5132000) (← links)
• Randomized Projection for Rank-Revealing Matrix Factorizations and Low-Rank Approximations (Q5137221) (← links)
• Structured Random Sketching for PDE Inverse Problems (Q5146630) (← links)
• A Comparative Study of Pairwise Learning Methods Based on Kernel Ridge Regression (Q5157226) (← links)
• Shallow neural networks for fluid flow reconstruction with limited sensors (Q5160984) (← links)
• Pass-Efficient Randomized Algorithms for Low-Rank Matrix Approximation Using Any Number of Views (Q5194597) (← links)
• Block Basis Factorization for Scalable Kernel Evaluation (Q5203970) (← links)
• Randomized Dynamic Mode Decomposition (Q5207530) (← links)
• More efficient estimation for logistic regression with optimal subsamples (Q5214224) (← links)
• (Q5214265) (← links)
• Scalable Matrix-Free Adaptive Product-Convolution Approximation for Locally Translation-Invariant Operators (Q5230654) (← links)
• Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation (Q5230655) (← links)
• On Approximating Matrix Norms in Data Streams (Q5244397) (← links)
• Randomized Approximation of the Gram Matrix: Exact Computation and Probabilistic Bounds (Q5251753) (← links)
• Subspace Iteration Randomization and Singular Value Problems (Q5254699) (← links)
• Operator Approximation for Processing of Large Random Data Sets (Q5261250) (← links)
• Relations Among Some Low-Rank Subspace Recovery Models (Q5380321) (← links)
• Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning (Q5381126) (← links)
• Conditioning of Leverage Scores and Computation by QR Decomposition (Q5502147) (← links)
• Householder QR Factorization With Randomization for Column Pivoting (HQRRP) (Q5738147) (← links)
• Estimating and Accounting for Unobserved Covariates in High-Dimensional Correlated Data (Q5881079) (← links)
• Randomized numerical linear algebra: Foundations and algorithms (Q5887823) (← links)
• Stochastic gradient descent, weighted sampling, and the randomized Kaczmarz algorithm (Q5962728) (← links)
• Scalable subspace methods for derivative-free nonlinear least-squares optimization (Q6038650) (← links)
• One-pass additive-error subset selection for \(\ell_p\) subspace approximation and \((k, p)\)-clustering (Q6046948) (← links)
• Low-Rank Binary Matrix Approximation in Column-Sum Norm. (Q6062156) (← links)
• Randomized algorithms for the computation of multilinear rank-\((\mu_1,\mu_2,\mu_3)\) approximations (Q6064026) (← links)
• A literature survey of matrix methods for data science (Q6068265) (← links)
• Pass-efficient randomized LU algorithms for computing low-rank matrix approximation (Q6073724) (← links)
• Optimal subsampling design for polynomial regression in one covariate (Q6080688) (← links)
• M-IHS: an accelerated randomized preconditioning method avoiding costly matrix decompositions (Q6083984) (← links)
• Randomized tensor decomposition for large-scale data assimilation problems for carbon dioxide sequestration (Q6084299) (← links)
• Subsampling and Jackknifing: A Practically Convenient Solution for Large Data Analysis With Limited Computational Resources (Q6092959) (← links)
• Model constraints independent optimal subsampling probabilities for softmax regression (Q6101697) (← links)
• Training very large scale nonlinear SVMs using alternating direction method of multipliers coupled with the hierarchically semi-separable kernel approximations (Q6114955) (← links)
• Generalized linear models for massive data via doubly-sketching (Q6117016) (← links)
• Stochastic configuration network based cascade generalized predictive control of main steam temperature in power plants (Q6154776) (← links)
• On randomized sketching algorithms and the Tracy-Widom law (Q6163409) (← links)
• Optimal subsampling for functional quantile regression (Q6201371) (← links)
• Unweighted estimation based on optimal sample under measurement constraints (Q6490399) (← links)
• Subsampling approach for least squares fitting of semi-parametric accelerated failure time models to massive survival data (Q6494420) (← links)
• Entropy-based subsampling methods for big data (Q6537380) (← links)