conftrace_

invariant prediction

11 papers

Explore in graph

Co-occurring keywords · papers mentioning both

causal inference (6) out-of-distribution generalization (5) domain generalization (4) distribution shift (2) empirical risk minimization (2) domain adaptation (2) graph neural network (1) ancestry search (1) minimal invariance (1) response variable (1)

Papers

Distribution Shift Is Key to Learning Invariant Prediction AAAI 2026 Does Invariant Graph Learning via Environment Augmentation Learn Invariance? NeurIPS 2023 Invariant Ancestry Search ICML 2022 Invariant Causal Representation Learning for Out-of-Distribution Generalization ICLR 2022 Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments NeurIPS 2022 Model-Based Domain Generalization NeurIPS 2021 Representation Learning via Invariant Causal Mechanisms ICLR 2021 The Risks of Invariant Risk Minimization ICLR 2021 Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport AISTATS 2019 Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions NeurIPS 2018 Invariant Models for Causal Transfer Learning JMLR 2018