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selection bia

55 papers

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Co-occurring keywords

causal inference (1630) large language model (13587) bias mitigation (500) treatment effect (134) recommender system (534) observational datum (109) heterogeneous treatment effect (50) graphical model (864) multi-armed bandit (1098) causal discovery (460)

Papers

Bounding Counterfactuals under Selection Bias PGM 2022
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges IJCAI 2022
Towards Resolving Propensity Contradiction in Offline Recommender Learning IJCAI 2022
Generalization Bounds for Estimating Causal Effects of Continuous Treatments NIPS 2022
Selection, Ignorability and Challenges With Causal Fairness CLEAR 2022
Local Constraint-Based Causal Discovery under Selection Bias CLEAR 2022
An Information-theoretic Approach to Distribution Shifts NIPS 2021
Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection Bias NIPS 2021
Bias-tolerant Fair Classification ACML 2021
User Retention: A Causal Approach with Triple Task Modeling IJCAI 2021
A kernel two-sample test with selection bias UAI 2021
Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias NIPS 2021
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview ACL 2020
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting ACL 2020
Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets EMNLP 2020
Decorrelated Clustering with Data Selection Bias IJCAI 2020
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets ACL 2019
Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias UAI 2019
Identification of Causal Effects in the Presence of Selection Bias AAAI 2019
Are sample means in multi-armed bandits positively or negatively biased? NIPS 2019
CounterFactual Regression with Importance Sampling Weights IJCAI 2019
Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design ICML 2018
Representation Learning for Treatment Effect Estimation from Observational Data NIPS 2018
Structure Learning Under Missing Data PGM 2018
Recommendations as Treatments: Debiasing Learning and Evaluation ICML 2016