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Selection bias

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TitleStatusHype
Contrastive Information Transfer for Pre-Ranking Systems—0
Contrastive Learning for Recommender System—0
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction—0
Correcting for Selection Bias in Learning-to-rank Systems—0
Correcting the User Feedback-Loop Bias for Recommendation Systems—0
CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation—0
Cross-Dataset Propensity Estimation for Debiasing Recommender Systems—0
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation—0
Debiased Graph Neural Networks with Agnostic Label Selection Bias—0
Machine Learning Inference on Inequality of Opportunity—0
Selection and the Distribution of Female Hourly Wages in the U.S—0
Deep Causal Learning: Representation, Discovery and Inference—0
Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction—0
Delve into the Performance Degradation of Differentiable Architecture Search—0
Determinants of the Spousal Age Gap in India: Analysis of Indian Microdata—0
Distinguishing cause from effect using observational data: methods and benchmarks—0
Diversidade linguística e inclusão digital: desafios para uma ia brasileira—0
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations—0
DRTCI: Learning Disentangled Representations for Temporal Causal Inference—0
Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction—0
Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications—0
Entire Space Learning Framework: Unbias Conversion Rate Prediction in Full Stages of Recommender System—0
Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction—0
Error AMP Chain Graphs—0
ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via Parameter Constraint—0
Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods—0
Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising—0
Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift—0
Every LWF and AMP chain graph originates from a set of causal models—0
Fairness Violations and Mitigation under Covariate Shift—0
Fair Regression under Sample Selection Bias—0
Fast and More Powerful Selective Inference for Sparse High-order Interaction Model—0
Fast Distributionally Robust Learning with Variance Reduced Min-Max Optimization—0
Federated Learning in the Presence of Adversarial Client Unavailability—0
Treatment Effects with Targeting Instruments—0
Filtering Context Mitigates Scarcity and Selection Bias in Political Ideology Prediction—0
From Lazy to Prolific: Tackling Missing Labels in Open Vocabulary Extreme Classification by Positive-Unlabeled Sequence Learning—0
Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems—0
Generalizing experimental findings: identification beyond adjustments—0
Generalizing Off-Policy Learning under Sample Selection Bias—0
Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders—0
Graph Out-of-Distribution Generalization with Controllable Data Augmentation—0
Group Average Treatment Effects for Observational Studies—0
HANS, are you clever? Clever Hans Effect Analysis of Neural Systems—0
Heckman-Selection or Two-Part models for alcohol studies? Depends—0
Hidden Biases in Unreliable News Detection Datasets—0
Hierarchically Modeling Micro and Macro Behaviors via Multi-Task Learning for Conversion Rate Prediction—0
Hire When You Need to: Gradual Participant Recruitment for Auction-based Federated Learning—0
How to be fair? A study of label and selection bias—0
Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference—0
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