invariant risk minimization

LOG: Active Model Adaptation for Label-Efficient OOD Generalization NeurIPS 2022 Provable Domain Generalization via Invariant-Feature Subspace Recovery ICML 2022 Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms AAAI 2022 Sparse Invariant Risk Minimization ICML 2022 The Missing Invariance Principle found -- the Reciprocal Twin of Invariant Risk Minimization NeurIPS 2022 When Does Group Invariant Learning Survive Spurious Correlations? NeurIPS 2022 Adversarial Invariant Learning CVPR 2021 Does Invariant Risk Minimization Capture Invariance? AISTATS 2021 Empirical or Invariant Risk Minimization? A Sample Complexity Perspective ICLR 2021 Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization NeurIPS 2021 Invariant representation learning for treatment effect estimation UAI 2021 IRM—when it works and when it doesn't: A test case of natural language inference NeurIPS 2021 Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions AISTATS 2021 Out-of-Distribution Generalization via Risk Extrapolation (REx) ICML 2021 Invariant Risk Minimization Games ICML 2020