Random Projections For Large-Scale Regression

19 January 2017

Papers citing "Random Projections For Large-Scale Regression"

17 / 17 papers shown

Title
Theoretical Limitations of Ensembles in the Age of Overparameterization Niclas Dern John P. Cunningham Geoff Pleiss BDL UQCV 85 1 0 21 Oct 2024
Generalized equivalences between subsampling and ridge regularization Pratik V. Patil Jin-Hong Du 91 5 0 29 May 2023
Sharp-SSL: Selective high-dimensional axis-aligned random projections for semi-supervised learning Tengyao Wang Yan Sun M. Gataric R. Samworth 56 1 0 18 Apr 2023
Asymptotics of the Sketched Pseudoinverse Daniel LeJeune Pratik V. Patil Hamid Javadi Richard G. Baraniuk Robert Tibshirani 54 10 0 07 Nov 2022
Ridge Regression: Structure, Cross-Validation, and Sketching Sifan Liu Yan Sun CML 115 48 0 06 Oct 2019
On orthogonal projections for dimension reduction and applications in augmented target loss functions for learning problems Anna Breger J. Orlando Pavol Harar M. Dörfler S. Klimscha C. Grechenig Bianca S. Gerendas U. Schmidt-Erfurth Martin Ehler 24 15 0 22 Jan 2019
Asymptotics for Sketching in Least Squares Regression Yan Sun Sifan Liu 61 13 0 14 Oct 2018
A Projector-Based Approach to Quantifying Total and Excess Uncertainties for Sketched Linear Regression Jocelyn T. Chi Ilse C. F. Ipsen 47 5 0 17 Aug 2018
Sketching for Principal Component Regression Liron Mor Yosef H. Avron 53 8 0 07 Mar 2018
Targeted Random Projection for Prediction from High-Dimensional Features Minerva Mukhopadhyay David B. Dunson 58 16 0 06 Dec 2017
Statistical properties of sketching algorithms Daniel Ahfock W. Astle S. Richardson 86 39 0 12 Jun 2017
LOCO: Distributing Ridge Regression with Random Projections C. Heinze Brian McWilliams N. Meinshausen Gabriel Krummenacher 132 34 0 13 Jun 2014
Fast and Robust Least Squares Estimation in Corrupted Linear Models Brian McWilliams Gabriel Krummenacher Mario Lucic J. M. Buhmann 92 51 0 12 Jun 2014
Recovering the Optimal Solution by Dual Random Projection Lijun Zhang M. Mahdavi Rong Jin Tianbao Yang Shenghuo Zhu 129 75 0 13 Nov 2012
A Risk Comparison of Ordinary Least Squares vs Ridge Regression Paramveer S. Dhillon Dean Phillips Foster Sham Kakade L. Ungar 123 47 0 04 May 2011
A Random Matrix--Theoretic Approach to Handling Singular Covariance Estimates T. Marzetta G. Tucci S. Simon 130 69 0 04 Oct 2010
Compressed Regression Shuheng Zhou John D. Lafferty Larry A. Wasserman 506 48 0 04 Jun 2007