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Invariant Risk Minimization
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Summary
Invariant Risk Minimization is like teaching a robot to learn what's always true, even when things around it change. It's about finding the best way to make decisions that work well no matter what happens next.
Concepts
Machine Learning
Generalization
Distributional Shift
Domain Adaptation
Robustness
Causal Inference
Relevant Degrees
Computer Science and Data Processing 63%
Probability and Statistics 38%
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