conftrace_

covariate shift

157 papers

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Co-occurring keywords

domain adaptation (4595) distribution shift (722) domain generalization (1522) causal inference (1630) transfer learning (5449) out-of-distribution detection (617) importance weighting (59) uncertainty quantification (1393) semi-supervised learning (2341) density ratio estimation (48)

Papers

Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples AAAI 2024
Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators NIPS 2024
TEA: Test-time Energy Adaptation CVPR 2024
Trained Transformers Learn Linear Models In-Context JMLR 2024
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection NIPS 2024
Sequential Harmful Shift Detection Without Labels NIPS 2024
Unified Entropy Optimization for Open-Set Test-Time Adaptation CVPR 2024
TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression AISTATS 2024
Covariate Shift Corrected Conditional Randomization Test NIPS 2024
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation CVPR 2024
Bridging OOD Detection and Generalization: A Graph-Theoretic View NIPS 2024
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization JMLR 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection NIPS 2024
FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection NIPS 2024
Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox NIPS 2024
Adversarially Balanced Representation for Continuous Treatment Effect Estimation AAAI 2024
Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data AISTATS 2023
Domain Adaptation under Missingness Shift AISTATS 2023
Personalization for Robust Voice Pathology Detection in Sound Waves INTERSPEECH 2023
Estimating Conditional Average Treatment Effects with Missing Treatment Information AISTATS 2023
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions ICML 2023
JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift ICML 2023
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time ICML 2023
Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts ICCV 2023
Unified Out-Of-Distribution Detection: A Model-Specific Perspective ICCV 2023