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WONDER: Weighted one-shot distributed ridge regression in high
  dimensions

WONDER: Weighted one-shot distributed ridge regression in high dimensions

22 March 2019
Yan Sun
Yueqi Sheng
    OffRL
ArXivPDFHTML

Papers citing "WONDER: Weighted one-shot distributed ridge regression in high dimensions"

6 / 6 papers shown
Title
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers
Fan Yang
Hongyang R. Zhang
Sen Wu
Christopher Ré
Weijie J. Su
91
11
0
22 Oct 2020
Optimal Regularization Can Mitigate Double Descent
Optimal Regularization Can Mitigate Double Descent
Preetum Nakkiran
Prayaag Venkat
Sham Kakade
Tengyu Ma
81
132
0
04 Mar 2020
CoCoA: A General Framework for Communication-Efficient Distributed
  Optimization
CoCoA: A General Framework for Communication-Efficient Distributed Optimization
Virginia Smith
Simone Forte
Chenxin Ma
Martin Takáč
Michael I. Jordan
Martin Jaggi
68
273
0
07 Nov 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
69
74
0
15 Jan 2016
Communication Lower Bounds for Statistical Estimation Problems via a
  Distributed Data Processing Inequality
Communication Lower Bounds for Statistical Estimation Problems via a Distributed Data Processing Inequality
M. Braverman
A. Garg
Tengyu Ma
Huy Le Nguyen
David P. Woodruff
FedML
50
175
0
24 Jun 2015
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
320
378
0
22 May 2013
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