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Selection bias

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TitleStatusHype
The Decaying Missing-at-Random Framework: Model Doubly Robust Causal Inference with Partially Labeled Data—0
Sensitivity Analysis in Unconditional Quantile Effects—0
Skellam Rank: Fair Learning to Rank Algorithm Based on Poisson Process and Skellam Distribution for Recommender Systems—0
Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services—0
Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints—0
Social Interactions in Endogenous Groups—0
Statistical Learning from Biased Training Samples—0
Continuous Treatment Recommendation with Deep Survival Dose Response Function—0
Synthesized Difference in Differences—0
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective—0
Correcting Selection Bias in Standardized Test Comparisons—0
Are sample means in multi-armed bandits positively or negatively biased?—0
The Carbon Premium: Correlation or Causation? Evidence from S&P 500 Companies—0
The Effect of Omitted Variables on the Sign of Regression Coefficients—0
The Impact of Corona Populism: Empirical Evidence from Austria and Theory—0
The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems—0
Then and Now: Quantifying the Longitudinal Validity of Self-Disclosed Depression Diagnoses—0
Towards a Transportable Causal Network Model Based on Observational Healthcare Data—0
Towards Ultrahigh Dimensional Feature Selection for Big Data—0
TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime—0
UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation—0
Unbiased split variable selection for random survival forests using maximally selected rank statistics—0
Graph Neural Networks for Causal Inference Under Network Confounding—0
Uniform Convergence Bounds for Codec Selection—0
Unknown Examples & Machine Learning Model Generalization—0
Unlocking Fairness: a Trade-off Revisited—0
Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models—0
VAT tax gap prediction: a 2-steps Gradient Boosting approach—0
Visual Encoding and Debiasing for CTR Prediction—0
Fighting Selection Bias in Statistical Learning: Application to Visual Recognition from Biased Image Databases—0
Weighted Empirical Risk Minimization: Sample Selection Bias Correction based on Importance Sampling—0
What Makes A Good Fisherman? Linear Regression under Self-Selection Bias—0
Causal Bias Quantification for Continuous Treatments—0
Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias—0
Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach—0
Causal Interpretation of Linear Social Interaction Models with Endogenous Networks—0
Causal Interventions-based Few-Shot Named Entity Recognition—0
Causally Regularized Learning with Agnostic Data Selection Bias—0
Causal programming: inference with structural causal models as finding instances of a relation—0
Analyzing User Characteristics of Hate Speech Spreaders on Social Media—0
CETransformer: Casual Effect Estimation via Transformer Based Representation Learning—0
Challenging Gradient Boosted Decision Trees with Tabular Transformers for Fraud Detection at Booking.com—0
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine—0
Choice Architecture, Privacy Valuations, and Selection Bias in Consumer Data—0
ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling—0
Client Selection in Federated Learning: Convergence Analysis and Power-of-Choice Selection Strategies—0
Combating Label Noise With A General Surrogate Model For Sample Selection—0
Co-Mining: Deep Face Recognition With Noisy Labels—0
Reducing Selection Bias in Large Language Models—0
Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery—0
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