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Selection bias

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Showing 101–150 of 365 papers

TitleStatusHype
Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach—0
Selective Inference for Changepoint detection by Recurrent Neural NetworkCode0
An adaptive denoising recommendation algorithm for causal separation biasCode0
Towards a Transportable Causal Network Model Based on Observational Healthcare Data—0
Causal Inference from Text: Unveiling Interactions between VariablesCode0
Unmasking Bias in AI: A Systematic Review of Bias Detection and Mitigation Strategies in Electronic Health Record-based Models—0
Optimal Transport for Treatment Effect Estimation—0
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data AugmentationCode0
Analyzing User Characteristics of Hate Speech Spreaders on Social Media—0
Phenotype selection due to mutational robustness—0
Pre-Training LiDAR-Based 3D Object Detectors Through ColorizationCode0
Batch-Mix Negative Sampling for Learning Recommendation RetrieversCode0
Combating Label Noise With A General Surrogate Model For Sample Selection—0
Causality and Independence Enhancement for Biased Node ClassificationCode0
Rethinking Large-scale Pre-ranking System: Entire-chain Cross-domain ModelsCode0
A Double Machine Learning Approach for the Evaluation of COVID-19 Vaccine Effectiveness under the Test-Negative Design: Analysis of Québec Administrative DataCode0
Hire When You Need to: Gradual Participant Recruitment for Auction-based Federated Learning—0
RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR PredictionCode0
Synthia's Melody: A Benchmark Framework for Unsupervised Domain Adaptation in AudioCode0
HANS, are you clever? Clever Hans Effect Analysis of Neural Systems—0
Correcting Selection Bias in Standardized Test Comparisons—0
Investigating Subtler Biases in LLMs: Ageism, Beauty, Institutional, and Nationality Bias in Generative ModelsCode0
On Prediction Feature Assignment in the Heckman Selection Model—0
Using representation balancing to learn conditional-average dose responses from clustered dataCode0
A Causal Perspective on Loan Pricing: Investigating the Impacts of Selection Bias on Identifying Bid-Response Functions—0
Choice Architecture, Privacy Valuations, and Selection Bias in Consumer Data—0
Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function ApproachCode0
A Counterfactual Fair Model for Longitudinal Electronic Health Records via Deconfounder—0
An Online Multiple Kernel Parallelizable Learning Scheme—0
Graph Out-of-Distribution Generalization with Controllable Data Augmentation—0
Addressing Distribution Shift in RTB Markets via Exponential Tilting—0
Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction—0
Causal Interpretation of Linear Social Interaction Models with Endogenous Networks—0
Approximating Counterfactual Bounds while Fusing Observational, Biased and Randomised Data Sources—0
Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion—0
ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via Parameter Constraint—0
Assisting Clinical Decisions for Scarcely Available Treatment via Disentangled Latent Representation—0
Learning under Selective Labels with Data from Heterogeneous Decision-makers: An Instrumental Variable Approach—0
Skellam Rank: Fair Learning to Rank Algorithm Based on Poisson Process and Skellam Distribution for Recommender Systems—0
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao—0
Social Interactions in Endogenous Groups—0
Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review—0
Federated Learning in the Presence of Adversarial Client Unavailability—0
A Robust Classifier Under Missing-Not-At-Random Sample Selection Bias—0
Prompting Large Language Models for Counterfactual Generation: An Empirical Study—0
Improving Heterogeneous Model Reuse by Density EstimationCode0
The Decaying Missing-at-Random Framework: Model Doubly Robust Causal Inference with Partially Labeled Data—0
On Bias and Fairness in NLP: Investigating the Impact of Bias and Debiasing in Language Models on the Fairness of Toxicity Detection—0
Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach—0
Causal Interventions-based Few-Shot Named Entity Recognition—0
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