importance weighting

BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation EACL 2026 Certified Interventional Fidelity: Anytime-Valid, Adaptive Evaluation of Causal Claims in Mechanistic Interpretability UAI 2026 CLIP-like Model as a Foundational Density Ratio Estimator CVPR 2026 Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds AAAI 2026 KMM-CP: Practical Conformal Prediction under Covariate Shift via Selective Kernel Mean Matching UAI 2026 Score-Regularized Joint Sampling with Importance Weights for Flow Matching UAI 2026 Valid and Efficient Uncertainty Quantification for Federated Joint Shift UAI 2026 Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation AISTATS 2025 Importance Weighting Can Help Large Language Models Self-Improve AAAI 2025 One-step Label Shift Adaptation via Robust Weight Estimation IJCAI 2025 Optimizing importance weighting in the presence of sub-population shifts ICLR 2025 Positive-unlabeled AUC Maximization under Covariate Shift ICML 2025 Score Matching with Missing Data ICML 2025 Wasserstein-Regularized Conformal Prediction under General Distribution Shift ICLR 2025 Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers AISTATS 2024 A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment JMLR 2024 Consistent Multi-Class Classification from Multiple Unlabeled Datasets ICLR 2024 Covariate Shift Corrected Conditional Randomization Test NeurIPS 2024 Deep Nonparametric Quantile Regression under Covariate Shift JMLR 2024 Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning NeurIPS 2024 PRODuctive bandits: Importance Weighting No More NeurIPS 2024 ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift ICLR 2024 Adapting to Continuous Covariate Shift via Online Density Ratio Estimation NeurIPS 2023 Correcting for selection bias and missing response in regression using privileged information UAI 2023 Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems NeurIPS 2023