selection bia

Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models NeurIPS 2024 Approximate Post-Selective Inference for Regression with the Group LASSO JMLR 2023 Correcting for selection bias and missing response in regression using privileged information UAI 2023 Discriminative-Invariant Representation Learning for Unbiased Recommendation IJCAI 2023 Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms ICML 2023 Identifying Selection Bias from Observational Data AAAI 2023 Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation EMNLP 2023 PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference NeurIPS 2023 Towards Balanced Representation Learning for Credit Policy Evaluation AISTATS 2023 Bounding Counterfactuals under Selection Bias PGM 2022 Generalization Bounds for Estimating Causal Effects of Continuous Treatments NeurIPS 2022 Local Constraint-Based Causal Discovery under Selection Bias CLeaR 2022 On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges IJCAI 2022 Selection, Ignorability and Challenges With Causal Fairness CLeaR 2022 Towards Resolving Propensity Contradiction in Offline Recommender Learning IJCAI 2022 A kernel two-sample test with selection bias UAI 2021 An Information-theoretic Approach to Distribution Shifts NeurIPS 2021 Bias-tolerant Fair Classification ACML 2021 Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias NeurIPS 2021 Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias NeurIPS 2021 User Retention: A Causal Approach with Triple Task Modeling IJCAI 2021 Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets EMNLP 2020 Decorrelated Clustering with Data Selection Bias IJCAI 2020 Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting ACL 2020 Learning Disentangled Representations for CounterFactual Regression ICLR 2020