Understand
The Invariant Risk Minimization (IRM) principle was first proposed by Arjovsky et al.
- [2019] to address the domain generalization problem by leveraging data heterogeneity from differing experimental conditions.
- Specifically, IRM seeks to find a data representation under which an optimal classifier remains invariant across all domains.
- Despite the conceptual appeal of IRM, the effectiveness of the originally proposed invariance penalty has recently been brought into question.
Reading the bibliography…