covariate shift

Optimal Policy Adaptation Under Covariate Shift IJCAI 2025 Out-of-distribution Robust Optimization UAI 2025 Percept, Memory, and Imagine: World Feature Simulating for Open-Domain Unknown Object Detection CVPR 2025 Positive-unlabeled AUC Maximization under Covariate Shift ICML 2025 Projection Pursuit Density Ratio Estimation ICML 2025 Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms JMLR 2025 Reparameterizing Hybrid Markov Logic Networks to handle Covariate-Shift in Representations UAI 2025 Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings ICML 2025 Testing Generalizability in Causal Inference UAI 2025 Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift ICML 2025 Transfer learning in latent contextual bandits with covariate shift through causal transportability CLeaR 2025 "Who experiences large model decay and why?" A Hierarchical Framework for Diagnosing Heterogeneous Performance Drift ICML 2025 Adversarially Balanced Representation for Continuous Treatment Effect Estimation AAAI 2024 AHA: Human-Assisted Out-of-Distribution Generalization and Detection NeurIPS 2024 Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics, Directional Convergence, and Equilibria JMLR 2024 Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift NeurIPS 2024 Bridging OOD Detection and Generalization: A Graph-Theoretic View NeurIPS 2024 Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation ICLR 2024 Covariate Shift Corrected Conditional Randomization Test NeurIPS 2024 Deep Nonparametric Quantile Regression under Covariate Shift JMLR 2024 Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples AAAI 2024 FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection NeurIPS 2024 High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization ICML 2024 ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms ICLR 2024 Input-gradient space particle inference for neural network ensembles ICLR 2024