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ELSA: Efficient Label Shift Adaptation through the Lens of
  Semiparametric Models

ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models

30 May 2023
Qinglong Tian
Xin Zhang
Jiwei Zhao
    VLM
ArXiv (abs)PDFHTML

Papers citing "ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models"

6 / 6 papers shown
Title
DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation
DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation
Qinshuo Liu
Zixin Wang
Xi-An Li
Xinyao Ji
Lei Zhang
Lin Liu
Zhonghua Liu
76
0
0
04 Aug 2024
Positive and Unlabeled Data: Model, Estimation, Inference, and Classification
Positive and Unlabeled Data: Model, Estimation, Inference, and Classification
Siyan Liu
Chi-Kuang Yeh
Xin Zhang
Qinglong Tian
Pengfei Li
75
0
0
13 Jul 2024
Comments on Friedman's Method for Class Distribution Estimation
Comments on Friedman's Method for Class Distribution Estimation
Dirk Tasche
38
0
0
26 May 2024
Distribution-Free Fair Federated Learning with Small Samples
Distribution-Free Fair Federated Learning with Small Samples
Qichuan Yin
Junzhou Huang
Huaxiu Yao
Linjun Zhang
FedML
198
0
0
25 Feb 2024
ReTaSA: A Nonparametric Functional Estimation Approach for Addressing
  Continuous Target Shift
ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift
Hwanwoo Kim
Xin Zhang
Jiwei Zhao
Qinglong Tian
OOD
55
2
0
29 Jan 2024
Estimating calibration error under label shift without labels
Estimating calibration error under label shift without labels
Teodora Popordanoska
Gorjan Radevski
Tinne Tuytelaars
Matthew B. Blaschko
39
1
0
14 Dec 2023
1