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Selection bias

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Showing 101–150 of 365 papers

TitleStatusHype
Correcting the User Feedback-Loop Bias for Recommendation Systems—0
CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation—0
Be Causal: De-biasing Social Network Confounding in Recommendation—0
Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models—0
Cross-Dataset Propensity Estimation for Debiasing Recommender Systems—0
A Likelihood Ratio Framework for High Dimensional Semiparametric Regression—0
Causal programming: inference with structural causal models as finding instances of a relation—0
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation—0
A Robust Classifier Under Missing-Not-At-Random Sample Selection Bias—0
Machine Learning Inference on Inequality of Opportunity—0
AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks—0
Selection and the Distribution of Female Hourly Wages in the U.S—0
Bias-Tolerant Fair Classification—0
Deep Causal Learning: Representation, Discovery and Inference—0
A Model-based Multi-Agent Personalized Short-Video Recommender System—0
Delayed Feedback Modeling for the Entire Space Conversion Rate Prediction—0
Delve into the Performance Degradation of Differentiable Architecture Search—0
Learning from Positive and Unlabeled Data with a Selection Bias—0
Determinants of the Spousal Age Gap in India: Analysis of Indian Microdata—0
Breaking Ties: Regression Discontinuity Design Meets Market Design—0
Generalizing experimental findings: identification beyond adjustments—0
A Constructive GAN-based Approach to Exact Estimate Treatment Effect without Matching—0
Causally Regularized Learning with Agnostic Data Selection Bias—0
A Directional Rockafellar-Uryasev Regression—0
Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems—0
Distinguishing cause from effect using observational data: methods and benchmarks—0
Generalizing Off-Policy Learning under Sample Selection Bias—0
Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders—0
Causal Interventions-based Few-Shot Named Entity Recognition—0
Approximating Counterfactual Bounds while Fusing Observational, Biased and Randomised Data Sources—0
Treatment Effects with Targeting Instruments—0
Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction—0
Applications and Challenges of Sentiment Analysis in Real-life Scenarios—0
Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach—0
Action similarity judgment based on kinematic primitives—0
Federated Learning in the Presence of Adversarial Client Unavailability—0
Filtering Context Mitigates Scarcity and Selection Bias in Political Ideology Prediction—0
Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications—0
Entire Space Learning Framework: Unbias Conversion Rate Prediction in Full Stages of Recommender System—0
Causal Interpretation of Linear Social Interaction Models with Endogenous Networks—0
Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction—0
Error AMP Chain Graphs—0
An Online Multiple Kernel Parallelizable Learning Scheme—0
A Primer on Domain Adaptation—0
ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via Parameter Constraint—0
Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods—0
Estimation Bias in Multi-Armed Bandit Algorithms for Search Advertising—0
Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift—0
Every LWF and AMP chain graph originates from a set of causal models—0
Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias—0
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