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Selection bias

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TitleStatusHype
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
Importance Weighted Generative Networks—0
A Causal Perspective on Loan Pricing: Investigating the Impacts of Selection Bias on Identifying Bid-Response Functions—0
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning—0
A Comparison of Resampling and Recursive Partitioning Methods in Random Forest for Estimating the Asymptotic Variance Using the Infinitesimal Jackknife—0
A Constructive GAN-based Approach to Exact Estimate Treatment Effect without Matching—0
Action similarity judgment based on kinematic primitives—0
Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models—0
Addressing Distribution Shift in RTB Markets via Exponential Tilting—0
Addressing the Selection Bias in Voice Assistance: Training Voice Assistance Model in Python with Equal Data Selection—0
A Directional Rockafellar-Uryasev Regression—0
Adjustment Criteria for Recovering Causal Effects from Missing Data—0
A Flexible Defense Against the Winner's Curse—0
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction—0
Algorithms are not neutral: Bias in collaborative filtering—0
A Likelihood Ratio Framework for High Dimensional Semiparametric Regression—0
AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks—0
A Model-based Multi-Agent Personalized Short-Video Recommender System—0
An Analysis of Selection Bias Issue for Online Advertising—0
An Online Multiple Kernel Parallelizable Learning Scheme—0
Applications and Challenges of Sentiment Analysis in Real-life Scenarios—0
Approximating Counterfactual Bounds while Fusing Observational, Biased and Randomised Data Sources—0
A Primer on Domain Adaptation—0
A Robust Classifier Under Missing-Not-At-Random Sample Selection Bias—0
A semi-supervised learning framework for quantitative structure-activity regression modelling—0
A Simple Way to Deal with Cherry-picking—0
A Single Iterative Step for Anytime Causal Discovery—0
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation—0
A Nonresponse Bias Correction using Nonrandom Followup with an Application to the Gender Entrepreneurship Gap—0
A Systematic Review of Machine Learning Approaches for Detecting Deceptive Activities on Social Media: Methods, Challenges, and Biases—0
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