scientific article
From MaRDI portal
Publication:2953637
zbMath1436.62331arXiv1406.5986MaRDI QIDQ2953637
Garvesh Raskutti, Michael W. Mahoney
Publication date: 5 January 2017
Full work available at URL: https://arxiv.org/abs/1406.5986
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
predictionsketchingrandom projectionstatistical efficiencyrandomized linear algebraalgorithmic leveragingstatistical leverage
Inference from stochastic processes and prediction (62M20) Linear regression; mixed models (62J05) Randomized algorithms (68W20)
Related Items (22)
On principal components regression, random projections, and column subsampling ⋮ Functional principal subspace sampling for large scale functional data analysis ⋮ Randomized Spectral Clustering in Large-Scale Stochastic Block Models ⋮ Optimal Sampling for Generalized Linear Models Under Measurement Constraints ⋮ Unnamed Item ⋮ Optimal subsampling for composite quantile regression model in massive data ⋮ Towards Practical Large-Scale Randomized Iterative Least Squares Solvers through Uncertainty Quantification ⋮ Optimal subsampling for softmax regression ⋮ Unnamed Item ⋮ Optimal subsampling algorithms for composite quantile regression in massive data ⋮ High-Dimensional Analysis of Double Descent for Linear Regression with Random Projections ⋮ On unifying randomized methods for inverse problems ⋮ Optimal subsampling for functional quantile regression ⋮ Structured Random Sketching for PDE Inverse Problems ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Multiplicative perturbation bounds for multivariate multiple linear regression in Schatten \(p\)-norms ⋮ On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models ⋮ Unnamed Item ⋮ Exact minimax risk for linear least squares, and the lower tail of sample covariance matrices ⋮ Optimal subsampling for composite quantile regression in big data ⋮ ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching
This page was built for publication:
