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A step towards the applicability of algorithms based on invariant causal
  learning on observational data

A step towards the applicability of algorithms based on invariant causal learning on observational data

5 April 2023
Borja Guerrero Santillan
    CML
    OOD
ArXivPDFHTML

Papers citing "A step towards the applicability of algorithms based on invariant causal learning on observational data"

2 / 2 papers shown
Title
CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution
  Generalization
CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution Generalization
Jawad Chowdhury
G. Terejanu
AI4CE
BDL
OOD
OODD
43
0
0
09 Nov 2024
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
901
0
02 Mar 2020
1