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

Efficient and Provable Algorithms for Covariate Shift ALT 2026
OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of-Distribution Detection CVPR 2025
Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models CVPR 2025
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms JMLR 2025
Optimal Policy Adaptation Under Covariate Shift IJCAI 2025
DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection ICCV 2025
Percept, Memory, and Imagine: World Feature Simulating for Open-Domain Unknown Object Detection CVPR 2025
Fully Test-time Adaptation for Tabular Data AAAI 2025
Metric-Agnostic Continual Learning for Sustainable Group Fairness AAAI 2025
Efficient and Robust Transfer Learning of Optimal Individualized Treatment Regimes with Right-Censored Survival Data JMLR 2025
ETA: Energy-based Test-time Adaptation for Depth Completion ICCV 2025
Confidence-based Estimators for Predictive Performance in Model Monitoring (Abstract Reprint) IJCAI 2025
DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data JMLR 2025
Deep Nonparametric Quantile Regression under Covariate Shift JMLR 2024
On the Effect of Key Factors in Spurious Correlation: A theoretical Perspective AISTATS 2024
LaSCal: Label-Shift Calibration without target labels NIPS 2024
Adversarially Balanced Representation for Continuous Treatment Effect Estimation AAAI 2024
Mitigating Covariate Shift in Misspecified Regression with Applications to Reinforcement Learning COLT 2024
On Regularized Radon-Nikodym Differentiation JMLR 2024
Nearest Neighbor Sampling for Covariate Shift Adaptation JMLR 2024
Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics, Directional Convergence, and Equilibria JMLR 2024
Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox NIPS 2024
Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift NIPS 2024
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation CVPR 2024
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization JMLR 2024