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Near-Optimal Linear Regression under Distribution Shift

Near-Optimal Linear Regression under Distribution Shift

23 June 2021
Qi Lei
Wei Hu
Jason D. Lee
    OOD
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Papers citing "Near-Optimal Linear Regression under Distribution Shift"

9 / 9 papers shown
Title
Domain Adaptation Using Pseudo Labels
Domain Adaptation Using Pseudo Labels
S. Chhabra
Hemanth Venkateswara
Baoxin Li
19
1
0
09 Feb 2024
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift
Benjamin Eyre
Elliot Creager
David Madras
Antonio Torralba
Katherine Heller
OOD
OODD
32
1
0
29 Dec 2023
Fixed Design Analysis of Regularization-Based Continual Learning
Fixed Design Analysis of Regularization-Based Continual Learning
Haoran Li
Jingfeng Wu
Vladimir Braverman
CLL
21
9
0
17 Mar 2023
When is Importance Weighting Correction Needed for Covariate Shift
  Adaptation?
When is Importance Weighting Correction Needed for Covariate Shift Adaptation?
Davit Gogolashvili
Matteo Zecchin
Motonobu Kanagawa
Marios Kountouris
Maurizio Filippone
30
6
0
07 Mar 2023
Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift
Pseudo-Labeling for Kernel Ridge Regression under Covariate Shift
Kaizheng Wang
24
10
0
20 Feb 2023
Demystifying Disagreement-on-the-Line in High Dimensions
Demystifying Disagreement-on-the-Line in High Dimensions
Dong-Hwan Lee
Behrad Moniri
Xinmeng Huang
Edgar Dobriban
Hamed Hassani
19
8
0
31 Jan 2023
Adaptive and Robust Multi-Task Learning
Adaptive and Robust Multi-Task Learning
Yaqi Duan
Kaizheng Wang
73
23
0
10 Feb 2022
Does Invariant Risk Minimization Capture Invariance?
Does Invariant Risk Minimization Capture Invariance?
Pritish Kamath
Akilesh Tangella
Danica J. Sutherland
Nathan Srebro
OOD
196
125
0
04 Jan 2021
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
54
10
0
22 Oct 2020
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