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WONDER: Weighted one-shot distributed ridge regression in high
  dimensions
v1v2 (latest)

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

22 March 2019
Yan Sun
Yueqi Sheng
    OffRL
ArXiv (abs)PDFHTML

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

14 / 14 papers shown
Title
Generalized equivalences between subsampling and ridge regularization
Generalized equivalences between subsampling and ridge regularization
Pratik V. Patil
Jin-Hong Du
91
5
0
29 May 2023
Distributed Sparse Linear Regression under Communication Constraints
Distributed Sparse Linear Regression under Communication Constraints
R. Fonseca
B. Nadler
FedML
74
2
0
09 Jan 2023
Asymptotics of the Sketched Pseudoinverse
Asymptotics of the Sketched Pseudoinverse
Daniel LeJeune
Pratik V. Patil
Hamid Javadi
Richard G. Baraniuk
Robert Tibshirani
54
10
0
07 Nov 2022
Federated Coordinate Descent for Privacy-Preserving Multiparty Linear
  Regression
Federated Coordinate Descent for Privacy-Preserving Multiparty Linear Regression
Xinlin Leng
Chenxu Li
Weifeng Xu
Yuyan Sun
Hongtao Wang
FedML
49
1
0
16 Sep 2022
Parameters or Privacy: A Provable Tradeoff Between Overparameterization
  and Membership Inference
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference
Jasper Tan
Blake Mason
Hamid Javadi
Richard G. Baraniuk
FedML
91
20
0
02 Feb 2022
Data splitting improves statistical performance in overparametrized
  regimes
Data splitting improves statistical performance in overparametrized regimes
Nicole Mücke
Enrico Reiss
Jonas Rungenhagen
Markus Klein
53
8
0
21 Oct 2021
Sparse sketches with small inversion bias
Sparse sketches with small inversion bias
Michal Derezinski
Zhenyu Liao
Yan Sun
Michael W. Mahoney
107
22
0
21 Nov 2020
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
159
11
0
22 Oct 2020
What causes the test error? Going beyond bias-variance via ANOVA
What causes the test error? Going beyond bias-variance via ANOVA
Licong Lin
Yan Sun
93
34
0
11 Oct 2020
Optimal Rates of Distributed Regression with Imperfect Kernels
Optimal Rates of Distributed Regression with Imperfect Kernels
Hongwei Sun
Qiang Wu
17
15
0
30 Jun 2020
On the Optimal Weighted $\ell_2$ Regularization in Overparameterized
  Linear Regression
On the Optimal Weighted ℓ2\ell_2ℓ2​ Regularization in Overparameterized Linear Regression
Denny Wu
Ji Xu
75
123
0
10 Jun 2020
Optimal Regularization Can Mitigate Double Descent
Optimal Regularization Can Mitigate Double Descent
Preetum Nakkiran
Prayaag Venkat
Sham Kakade
Tengyu Ma
85
133
0
04 Mar 2020
Ridge Regression: Structure, Cross-Validation, and Sketching
Ridge Regression: Structure, Cross-Validation, and Sketching
Sifan Liu
Yan Sun
CML
115
48
0
06 Oct 2019
Distributed linear regression by averaging
Distributed linear regression by averaging
Yan Sun
Yueqi Sheng
FedML
82
66
0
30 Sep 2018
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