importance weighting

Off-Policy Evaluation for Large Action Spaces via Conjunct Effect Modeling ICML 2023 Seeing Differently, Acting Similarly: Heterogeneously Observable Imitation Learning ICLR 2023 Understanding new tasks through the lens of training data via exponential tilting ICLR 2023 Understanding Why Generalized Reweighting Does Not Improve Over ERM ICLR 2023 "Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts ICML 2023 Asymptotic optimality for active learning processes UAI 2022 A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization ICML 2022 Importance Weighted Kernel Bayes’ Rule ICML 2022 Is Importance Weighting Incompatible with Interpolating Classifiers? ICLR 2022 Learning Causal Models from Conditional Moment Restrictions by Importance Weighting ICLR 2022 Mitigating statistical bias within differentially private synthetic data UAI 2022 Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs AISTATS 2022 Off-Policy Evaluation for Action-Dependent Non-stationary Environments NeurIPS 2022 Off-Policy Evaluation for Large Action Spaces via Embeddings ICML 2022 PAC Prediction Sets Under Covariate Shift ICLR 2022 UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup NeurIPS 2022 Unsupervised training data re-weighting for natural language understanding with local distribution approximation EMNLP 2022 Variational Inference with Locally Enhanced Bounds for Hierarchical Models ICML 2022 Active Learning under Label Shift AISTATS 2021 An Importance Weighted Feature Selection Stability Measure JMLR 2021 Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting AISTATS 2021 Designing Transportable Experiments Under S-admissability AISTATS 2021 Mandoline: Model Evaluation under Distribution Shift ICML 2021 not-MIWAE: Deep Generative Modelling with Missing not at Random Data ICLR 2021 Text Generation by Learning from Demonstrations ICLR 2021