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Selection bias

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Showing 151–200 of 365 papers

TitleStatusHype
The Structurally Complex with Additive Parent Causality (SCARY) DatasetCode0
Correcting for Selection Bias and Missing Response in Regression using Privileged InformationCode0
Sensitivity Analysis in Unconditional Quantile Effects—0
Uncertainty Calibration for Counterfactual Propensity Estimation in RecommendationCode0
Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data—0
Continual Causal Inference with Incremental Observational Data—0
Entire Space Learning Framework: Unbias Conversion Rate Prediction in Full Stages of Recommender System—0
Representation Disentaglement via Regularization by Causal Identification—0
Counterfactual Prediction Under Outcome Measurement ErrorCode0
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation—0
Filtering Context Mitigates Scarcity and Selection Bias in Political Ideology Prediction—0
Applications and Challenges of Sentiment Analysis in Real-life Scenarios—0
Relaxing Instrument Exogeneity with Common Confounders—0
Continual Causal Effect Estimation: Challenges and Opportunities—0
Cross-Dataset Propensity Estimation for Debiasing Recommender Systems—0
Consistent Range Approximation for Fair Predictive ModelingCode0
Addressing the Selection Bias in Voice Assistance: Training Voice Assistance Model in Python with Equal Data Selection—0
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective—0
Learning to Bound Counterfactual Inference from Observational, Biased and Randomised DataCode0
PatchMix Augmentation to Identify Causal Features in Few-shot Learning—0
Recommending Related Products Using Graph Neural Networks in Directed Graphs—0
Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventionsCode0
Graph Neural Networks for Causal Inference Under Network Confounding—0
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction—0
Robust Difference-in-differences ModelsCode0
Deep Causal Learning: Representation, Discovery and Inference—0
Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications—0
Adaptive Unsupervised Self-training for Disfluency DetectionCode0
Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun ResolutionCode0
Falsification before Extrapolation in Causal Effect EstimationCode0
Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information—0
BOBA: Byzantine-Robust Federated Learning with Label SkewnessCode0
NeurIPS Competition Instructions and Guide: Causal Insights for Learning Paths in Education—0
The Effect of Omitted Variables on the Sign of Regression Coefficients—0
Bounding Counterfactuals under Selection BiasCode0
Selection Bias Induced Spurious Correlations in Large Language ModelsCode0
Contrastive Information Transfer for Pre-Ranking Systems—0
Identifying the Context Shift between Test Benchmarks and Production Data—0
The Bandwagon Effect: Not Just Another BiasCode0
Never trust, always verify : a roadmap for Trustworthy AI?Code0
Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression Diagnoses—0
Generalizing experimental findings: identification beyond adjustments—0
A Constructive GAN-based Approach to Exact Estimate Treatment Effect without Matching—0
Machine Learning Inference on Inequality of Opportunity—0
Singapore Soundscape Site Selection Survey (S5): Identification of Characteristic Soundscapes of Singapore via Weighted k-means ClusteringCode0
An Analysis of Selection Bias Issue for Online Advertising—0
RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring—0
Preliminary Results on the Employment Effect of Tourism. A meta-analysis—0
Bias Reduction via Cooperative Bargaining in Synthetic Graph Dataset GenerationCode0
Multiple Domain Causal Networks—0
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