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Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift

Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift

29 December 2023
Benjamin Eyre
Elliot Creager
David Madras
Antonio Torralba
Katherine Heller
    OOD
    OODD
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Papers citing "Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift"

4 / 4 papers shown
Title
On the design-dependent suboptimality of the Lasso
On the design-dependent suboptimality of the Lasso
Reese Pathak
Cong Ma
20
4
0
01 Feb 2024
DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning
  Inverse Gram Matrices
DARE-GRAM : Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices
Ismail Nejjar
Qin Wang
Olga Fink
36
30
0
23 Mar 2023
A new similarity measure for covariate shift with applications to
  nonparametric regression
A new similarity measure for covariate shift with applications to nonparametric regression
Reese Pathak
Cong Ma
Martin J. Wainwright
56
30
0
06 Feb 2022
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
149
9,300
0
28 May 2015
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