Distribution Shift

Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation ACL 2025 An Adaptive Method for Weak Supervision with Drifting Data AISTATS 2025 Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data CVPR 2025 Boosting Test Performance with Importance Sampling--a Subpopulation Perspective AAAI 2025 Conditional Prediction ROC Bands for Graph Classification AISTATS 2025 Conformal Prediction Under Generalized Covariate Shift with Posterior Drift AISTATS 2025 Consistent Validation for Predictive Methods in Spatial Settings AISTATS 2025 Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data AAAI 2025 Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection CVPR 2025 Early Concept Drift Detection via Prediction Uncertainty AAAI 2025 Fully Test-time Adaptation for Tabular Data AAAI 2025 Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams AAAI 2025 Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation AISTATS 2025 Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning AAAI 2025 Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention AISTATS 2025 Learning from Label Proportions and Covariate-shifted Instances UAI 2025 Learning the Distribution Map in Reverse Causal Performative Prediction AISTATS 2025 Metric-Agnostic Continual Learning for Sustainable Group Fairness AAAI 2025 Mining In-distribution Attributes in Outliers for Out-of-distribution Detection AAAI 2025 Mixed-Feature Logistic Regression Robust to Distribution Shifts AISTATS 2025 ODD: Overlap-aware Estimation of Model Performance under Distribution Shift UAI 2025 On Continuous Monitoring of Risk Violations under Unknown Shift UAI 2025 Open Set Label Shift with Test Time Out-of-Distribution Reference CVPR 2025 Out-of-distribution robustness for multivariate analysis via causal regularisation AISTATS 2025 Out-of-distribution Robust Optimization UAI 2025