ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1702.04837
  4. Cited By
Sketched Ridge Regression: Optimization Perspective, Statistical
  Perspective, and Model Averaging
v1v2v3v4 (latest)

Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging

16 February 2017
Shusen Wang
Alex Gittens
Michael W. Mahoney
ArXiv (abs)PDFHTML

Papers citing "Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging"

4 / 4 papers shown
Title
SPSD Matrix Approximation vis Column Selection: Theories, Algorithms,
  and Extensions
SPSD Matrix Approximation vis Column Selection: Theories, Algorithms, and Extensions
Shusen Wang
Luo Luo
Zhihua Zhang
172
39
0
22 Jun 2014
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with
  Minimax Optimal Rates
Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates
Yuchen Zhang
John C. Duchi
Martin J. Wainwright
331
379
0
22 May 2013
Fast approximation of matrix coherence and statistical leverage
Fast approximation of matrix coherence and statistical leverage
P. Drineas
M. Magdon-Ismail
Michael W. Mahoney
David P. Woodruff
170
534
0
18 Sep 2011
Feature Hashing for Large Scale Multitask Learning
Feature Hashing for Large Scale Multitask Learning
Kilian Q. Weinberger
A. Dasgupta
Josh Attenberg
John Langford
Alex Smola
122
1,024
0
12 Feb 2009
1