covariate shift

LaSCal: Label-Shift Calibration without target labels NeurIPS 2024 LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation CVPR 2024 Length Optimization in Conformal Prediction NeurIPS 2024 Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift ICLR 2024 Minimum-Norm Interpolation Under Covariate Shift ICML 2024 Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction NeurIPS 2024 Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning COLT 2024 Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization JMLR 2024 Nearest Neighbor Sampling for Covariate Shift Adaptation JMLR 2024 Online Boosting Adaptive Learning under Concept Drift for Multistream Classification AAAI 2024 On Regularized Radon-Nikodym Differentiation JMLR 2024 On the Effect of Key Factors in Spurious Correlation: A theoretical Perspective AISTATS 2024 Optimal Ridge Regularization for Out-of-Distribution Prediction ICML 2024 Out of the Ordinary: Spectrally Adapting Regression for Covariate Shift ICML 2024 Pooling Image Datasets with Multiple Covariate Shift and Imbalance ICLR 2024 Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox NeurIPS 2024 Sequential Harmful Shift Detection Without Labels NeurIPS 2024 TEA: Test-time Energy Adaptation CVPR 2024 The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection NeurIPS 2024 Trained Transformers Learn Linear Models In-Context JMLR 2024 TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression AISTATS 2024 Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains CVPR 2024 Unified Entropy Optimization for Open-Set Test-Time Adaptation CVPR 2024 Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators NeurIPS 2024 Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time ICML 2023