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Ridge Regression: Structure, Cross-Validation, and Sketching
v1v2v3 (latest)

Ridge Regression: Structure, Cross-Validation, and Sketching

6 October 2019
Sifan Liu
Yan Sun
    CML
ArXiv (abs)PDFHTML

Papers citing "Ridge Regression: Structure, Cross-Validation, and Sketching"

18 / 18 papers shown
Title
WONDER: Weighted one-shot distributed ridge regression in high
  dimensions
WONDER: Weighted one-shot distributed ridge regression in high dimensions
Yan Sun
Yueqi Sheng
OffRL
75
51
0
22 Mar 2019
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Trevor Hastie
Andrea Montanari
Saharon Rosset
Robert Tibshirani
222
747
0
19 Mar 2019
Asymptotics for Sketching in Least Squares Regression
Asymptotics for Sketching in Least Squares Regression
Yan Sun
Sifan Liu
44
13
0
14 Oct 2018
Distributed linear regression by averaging
Distributed linear regression by averaging
Yan Sun
Yueqi Sheng
FedML
73
66
0
30 Sep 2018
Error Estimation for Randomized Least-Squares Algorithms via the
  Bootstrap
Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap
Miles E. Lopes
Shusen Wang
Michael W. Mahoney
46
24
0
21 Mar 2018
Lectures on Randomized Numerical Linear Algebra
Lectures on Randomized Numerical Linear Algebra
P. Drineas
Michael W. Mahoney
52
77
0
24 Dec 2017
Statistical properties of sketching algorithms
Statistical properties of sketching algorithms
Daniel Ahfock
W. Astle
S. Richardson
72
39
0
12 Jun 2017
Sketched Ridge Regression: Optimization Perspective, Statistical
  Perspective, and Model Averaging
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging
Shusen Wang
Alex Gittens
Michael W. Mahoney
40
84
0
16 Feb 2017
Random Projections For Large-Scale Regression
Random Projections For Large-Scale Regression
Farman Ali
C. Heinze
K. H. Kim
235
45
0
19 Jan 2017
Cleaning large correlation matrices: tools from random matrix theory
Cleaning large correlation matrices: tools from random matrix theory
J. Bun
J. Bouchaud
M. Potters
74
266
0
25 Oct 2016
Sketching Meets Random Projection in the Dual: A Provable Recovery
  Algorithm for Big and High-dimensional Data
Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data
Jialei Wang
Jason D. Lee
M. Mahdavi
Mladen Kolar
Nathan Srebro
80
51
0
10 Oct 2016
Solving Ridge Regression using Sketched Preconditioned SVRG
Solving Ridge Regression using Sketched Preconditioned SVRG
Alon Gonen
Francesco Orabona
Shai Shalev-Shwartz
64
46
0
07 Feb 2016
Ridge regression and asymptotic minimax estimation over spheres of
  growing dimension
Ridge regression and asymptotic minimax estimation over spheres of growing dimension
Lee H. Dicker
97
74
0
15 Jan 2016
High-Dimensional Asymptotics of Prediction: Ridge Regression and
  Classification
High-Dimensional Asymptotics of Prediction: Ridge Regression and Classification
Yan Sun
Stefan Wager
134
289
0
10 Jul 2015
A Statistical Perspective on Randomized Sketching for Ordinary
  Least-Squares
A Statistical Perspective on Randomized Sketching for Ordinary Least-Squares
Garvesh Raskutti
Michael W. Mahoney
97
97
0
23 Jun 2014
A Statistical Perspective on Algorithmic Leveraging
A Statistical Perspective on Algorithmic Leveraging
Ping Ma
Michael W. Mahoney
Bin Yu
80
351
0
23 Jun 2013
Recovering the Optimal Solution by Dual Random Projection
Recovering the Optimal Solution by Dual Random Projection
Lijun Zhang
M. Mahdavi
Rong Jin
Tianbao Yang
Shenghuo Zhu
114
75
0
13 Nov 2012
Geometric sensitivity of random matrix results: consequences for
  shrinkage estimators of covariance and related statistical methods
Geometric sensitivity of random matrix results: consequences for shrinkage estimators of covariance and related statistical methods
N. Karoui
Holger Koesters
85
31
0
07 May 2011
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