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Selection bias

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Showing 251–300 of 365 papers

TitleStatusHype
Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data—0
Balance-Subsampled Stable Prediction—0
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms—0
Be Causal: De-biasing Social Network Confounding in Recommendation—0
Bias-Tolerant Fair Classification—0
Breaking Ties: Regression Discontinuity Design Meets Market Design—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
Can SGD Select Good Fishermen? Local Convergence under Self-Selection Biases and Beyond—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
Continual Causal Inference with Incremental Observational Data—0
Continual Lifelong Causal Effect Inference with Real World Evidence—0
Continual Causal Effect Estimation: Challenges and Opportunities—0
Continuous Treatment Effects with Surrogate Outcomes—0
Contrastive Information Transfer for Pre-Ranking Systems—0
Contrastive Learning for Recommender System—0
Entire Space Multi-Task Modeling via Post-Click Behavior Decomposition for Conversion Rate Prediction—0
Correcting for Selection Bias in Learning-to-rank Systems—0
Correcting the User Feedback-Loop Bias for Recommendation Systems—0
CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation—0
Cross-Dataset Propensity Estimation for Debiasing Recommender Systems—0
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation—0
Debiased Graph Neural Networks with Agnostic Label Selection Bias—0
Machine Learning Inference on Inequality of Opportunity—0
Selection and the Distribution of Female Hourly Wages in the U.S—0
Deep Causal Learning: Representation, Discovery and Inference—0
Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction—0
Delve into the Performance Degradation of Differentiable Architecture Search—0
Determinants of the Spousal Age Gap in India: Analysis of Indian Microdata—0
Distinguishing cause from effect using observational data: methods and benchmarks—0
Diversidade linguística e inclusão digital: desafios para uma ia brasileira—0
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations—0
DRTCI: Learning Disentangled Representations for Temporal Causal Inference—0
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