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Selection bias

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Showing 126–150 of 365 papers

TitleStatusHype
Choice Architecture, Privacy Valuations, and Selection Bias in Consumer Data—0
Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function ApproachCode0
A Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder—0
An Online Multiple Kernel Parallelizable Learning Scheme—0
Graph Out-of-Distribution Generalization with Controllable Data Augmentation—0
Addressing Distribution Shift in RTB Markets via Exponential Tilting—0
Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction—0
Causal Interpretation of Linear Social Interaction Models with Endogenous Networks—0
Approximating Counterfactual Bounds while Fusing Observational, Biased and Randomised Data Sources—0
Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion—0
ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via Parameter Constraint—0
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation—0
Learning under Selective Labels with Data from Heterogeneous Decision-makers: An Instrumental Variable Approach—0
Skellam Rank: Fair Learning to Rank Algorithm Based on Poisson Process and Skellam Distribution for Recommender Systems—0
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao—0
Social Interactions in Endogenous Groups—0
Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review—0
Federated Learning in the Presence of Adversarial Client Unavailability—0
A Robust Classifier Under Missing-Not-At-Random Sample Selection Bias—0
Prompting Large Language Models for Counterfactual Generation: An Empirical Study—0
Improving Heterogeneous Model Reuse by Density EstimationCode0
The Decaying Missing-at-Random Framework: Model Doubly Robust Causal Inference with Partially Labeled Data—0
On Bias and Fairness in NLP: Investigating the Impact of Bias and Debiasing in Language Models on the Fairness of Toxicity Detection—0
Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach—0
Causal Interventions-based Few-Shot Named Entity Recognition—0
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