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Selection bias

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Showing 251–300 of 365 papers

TitleStatusHype
Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal InferenceCode0
Contrastive Learning for Recommender System—0
Continual Lifelong Causal Effect Inference with Real World Evidence—0
Breaking Ties: Regression Discontinuity Design Meets Market Design—0
Approximate Post-Selective Inference for Regression with the Group LASSO—0
The Impact of Corona Populism: Empirical Evidence from Austria and Theory—0
Robust Collaborative Learning with Noisy Labels—0
CAMTA: Causal Attention Model for Multi-touch Attribution—0
Multi-characteristic Subject Selection from Biased Datasets—0
A Single Iterative Step for Anytime Causal Discovery—0
Unifying Online and Counterfactual Learning to RankCode1
Measuring Alignment to Authoritarian State Media as Framing BiasCode0
Active Structure Learning of Causal DAGs via Directed Clique TreesCode0
Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction—0
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks—0
Rethinking recidivism through a causal lensCode0
Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech DatasetsCode0
Active Structure Learning of Causal DAGs via Directed Clique TreeCode0
Bias and Debias in Recommender System: A Survey and Future DirectionsCode1
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies—0
Learning Classifiers under Delayed Feedback with a Time Window Assumption—0
Matching in Selective and Balanced Representation Space for Treatment Effects Estimation—0
Action similarity judgment based on kinematic primitives—0
Generalized Lee BoundsCode0
Taking the Counterfactual Online: Efficient and Unbiased Online Evaluation for RankingCode0
Treatment Effects with Targeting Instruments—0
Decorrelated Clustering with Data Selection BiasCode0
Balance-Subsampled Stable Prediction—0
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail PerformanceCode1
Instrumental Variables with Treatment-Induced Selection: Exact Bias Results—0
Learning Disentangled Representations for CounterFactual Regression—0
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance WeightingCode0
Minimizing Interference and Selection Bias in Network Experiment Design—0
PanNuke Dataset Extension, Insights and BaselinesCode1
Weighted Empirical Risk Minimization: Sample Selection Bias Correction based on Importance Sampling—0
Correcting for Selection Bias in Learning-to-rank Systems—0
Low-Complexity Methods for Estimation After Parameter Selection—0
A Primer on Domain Adaptation—0
Learning Overlapping Representations for the Estimation of Individualized Treatment Effects—0
A semi-supervised learning framework for quantitative structure-activity regression modelling—0
Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation—0
VAT tax gap prediction: a 2-steps Gradient Boosting approach—0
Automated Dependence PlotsCode0
Unlocking Fairness: a Trade-off Revisited—0
Correcting Sociodemographic Selection Biases for Population Prediction from Social MediaCode0
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview—0
Group Average Treatment Effects for Observational Studies—0
Fairness Violations and Mitigation under Covariate Shift—0
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning—0
Towards Resolving Propensity Contradiction in Offline Recommender LearningCode0
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