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Selection bias

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Showing 51–100 of 365 papers

TitleStatusHype
Be Causal: De-biasing Social Network Confounding in Recommendation—0
A Likelihood Ratio Framework for High Dimensional Semiparametric Regression—0
A Systematic Review of Machine Learning Approaches for Detecting Deceptive Activities on Social Media: Methods, Challenges, and Biases—0
Determinants of the Spousal Age Gap in India: Analysis of Indian Microdata—0
AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks—0
Bias-Tolerant Fair Classification—0
A Model-based Multi-Agent Personalized Short-Video Recommender System—0
Deep Causal Learning: Representation, Discovery and Inference—0
Breaking Ties: Regression Discontinuity Design Meets Market Design—0
A Constructive GAN-based Approach to Exact Estimate Treatment Effect without Matching—0
CAMTA: Causal Attention Model for Multi-touch Attribution—0
Can Many-Shot In-Context Learning Help LLMs as Evaluators? A Preliminary Empirical Study—0
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation—0
Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction—0
A Comparison of Resampling and Recursive Partitioning Methods in Random Forest for Estimating the Asymptotic Variance Using the Infinitesimal Jackknife—0
A Simple Way to Deal with Cherry-picking—0
Selection and the Distribution of Female Hourly Wages in the U.S—0
Delve into the Performance Degradation of Differentiable Architecture Search—0
Distinguishing cause from effect using observational data: methods and benchmarks—0
Adjustment Criteria for Recovering Causal Effects from Missing Data—0
Analyzing User Characteristics of Hate Speech Spreaders on Social Media—0
A semi-supervised learning framework for quantitative structure-activity regression modelling—0
Large-scale Causal Approaches to Debiasing Post-click Conversion Rate Estimation with Multi-task Learning—0
Causal programming: inference with structural causal models as finding instances of a relation—0
A Robust Classifier Under Missing-Not-At-Random Sample Selection Bias—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
A Single Iterative Step for Anytime Causal Discovery—0
Combating Label Noise With A General Surrogate Model For Sample Selection—0
Co-Mining: Deep Face Recognition With Noisy Labels—0
A Nonresponse Bias Correction using Nonrandom Followup with an Application to the Gender Entrepreneurship Gap—0
Reducing Selection Bias in Large Language Models—0
Cross-Dataset Propensity Estimation for Debiasing Recommender Systems—0
Causally Regularized Learning with Agnostic Data Selection Bias—0
Continual Causal Inference with Incremental Observational Data—0
Continual Lifelong Causal Effect Inference with Real World Evidence—0
A Primer on Domain Adaptation—0
Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data—0
Continuous Treatment Effects with Surrogate Outcomes—0
Contrastive Information Transfer for Pre-Ranking Systems—0
A Directional Rockafellar-Uryasev Regression—0
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation—0
A Causal Perspective on Loan Pricing: Investigating the Impacts of Selection Bias on Identifying Bid-Response Functions—0
Correcting for Selection Bias in Learning-to-rank Systems—0
Debiased Graph Neural Networks with Agnostic Label Selection Bias—0
Causal Interventions-based Few-Shot Named Entity Recognition—0
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