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Invariant Models for Causal Transfer Learning
Mateo Rojas-Carulla, Bernhard Schoelkopf, Richard Turner,
Jonas Peters
Department of Mathematical Sciences
20
Citations (Scopus)
9
Downloads (Pure)
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Dive into the research topics of 'Invariant Models for Causal Transfer Learning'. Together they form a unique fingerprint.
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Mathematics
Causality
15%
Conditional Distribution
13%
Covariates
11%
Deletion
13%
Estimator
7%
Gene
13%
Generalization
13%
Invariant
29%
Knowledge
10%
Knowledge Transfer
24%
Methodology
9%
Model
17%
Performance
7%
Pooling
17%
Prediction
21%
Predictors
24%
Subset
29%
Synthetic Data
15%
Target
11%
Training
14%
Transfer Learning
100%
Engineering & Materials Science
Genes
25%
Set theory
17%
Transfer learning
63%