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A Theoretical Analysis on Independence-driven Importance Weighting for
  Covariate-shift Generalization

A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization

3 November 2021
Renzhe Xu
Xingxuan Zhang
Zheyan Shen
Tong Zhang
Peng Cui
    OOD
ArXivPDFHTML

Papers citing "A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization"

6 / 6 papers shown
Title
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources
Heterogeneous Data Game: Characterizing the Model Competition Across Multiple Data Sources
Renzhe Xu
K. Wang
Bo Li
29
0
0
12 May 2025
Class-Conditional Distribution Balancing for Group Robust Classification
Class-Conditional Distribution Balancing for Group Robust Classification
Miaoyun Zhao
Qiang Zhang
C. Li
62
1
0
24 Apr 2025
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
898
0
02 Mar 2020
Learning Sparse Nonparametric DAGs
Learning Sparse Nonparametric DAGs
Xun Zheng
Chen Dan
Bryon Aragam
Pradeep Ravikumar
Eric P. Xing
CML
101
257
0
29 Sep 2019
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
210
718
0
12 May 2016
Causal Inference in the Presence of Latent Variables and Selection Bias
Causal Inference in the Presence of Latent Variables and Selection Bias
Peter Spirtes
Christopher Meek
Thomas S. Richardson
CML
133
434
0
20 Feb 2013
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