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Selection bias

Papers

Showing 150 of 365 papers

TitleStatusHype
RecFlow: An Industrial Full Flow Recommendation DatasetCode2
Open-LLM-Leaderboard: From Multi-choice to Open-style Questions for LLMs Evaluation, Benchmark, and ArenaCode2
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate EstimationCode1
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular DataCode1
Matched sample selection with GANs for mitigating attribute confoundingCode1
Discovering and Explaining the Non-Causality of Deep Learning in SAR ATRCode1
Large Language Models Are Not Robust Multiple Choice SelectorsCode1
Bias and Debias in Recommender System: A Survey and Future DirectionsCode1
Unmasking the Mask -- Evaluating Social Biases in Masked Language ModelsCode1
Uncovering Main Causalities for Long-tailed Information ExtractionCode1
PanNuke Dataset Extension, Insights and BaselinesCode1
Exploring Transformer Backbones for Heterogeneous Treatment Effect EstimationCode1
Difference-in-Differences with a Continuous TreatmentCode1
An Information-theoretic Approach to Distribution ShiftsCode1
DiffPO: A causal diffusion model for learning distributions of potential outcomesCode1
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail PerformanceCode1
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection BiasCode1
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and MetricsCode1
SurvTRACE: Transformers for Survival Analysis with Competing EventsCode1
Unifying Online and Counterfactual Learning to RankCode1
A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection BiasCode1
What Makes ImageNet Look Unlike LAIONCode1
EVOS: Efficient Implicit Neural Training via EVOlutionary SelectorCode1
Mathematical Capabilities of ChatGPTCode1
Gradient Imitation Reinforcement Learning for Low Resource Relation ExtractionCode1
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the CentroidCode1
An adaptive denoising recommendation algorithm for causal separation biasCode0
Automated Dependence PlotsCode0
Deep Counterfactual Networks with Propensity-DropoutCode0
Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function ApproachCode0
Pre-training of Graph Augmented Transformers for Medication RecommendationCode0
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance WeightingCode0
Addressing Correlated Latent Exogenous Variables in Debiased Recommender SystemsCode0
Decolonising Data Systems: Using Jyutping or Pinyin as tonal representations of Chinese names for data linkageCode0
DCAST: Diverse Class-Aware Self-Training Mitigates Selection Bias for Fairer LearningCode0
Batch-Mix Negative Sampling for Learning Recommendation RetrieversCode0
Debiased Bayesian inference for average treatment effectsCode0
Decorrelated Clustering with Data Selection BiasCode0
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect EstimationCode0
Correcting Sociodemographic Selection Biases for Population Prediction from Social MediaCode0
Augmented prediction of a true class for Positive Unlabeled data under selection biasCode0
Adaptive Unsupervised Self-training for Disfluency DetectionCode0
Confidence on the Focal: Conformal Prediction with Selection-Conditional CoverageCode0
Correcting the Triplet Selection Bias for Triplet LossCode0
Learning Group Importance using the Differentiable Hypergeometric DistributionCode0
Correcting for Selection Bias and Missing Response in Regression using Privileged InformationCode0
Causal Machine Learning for Cost-Effective Allocation of Development AidCode0
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian ProcessesCode0
Algorithm as Experiment: Machine Learning, Market Design, and Policy Eligibility RulesCode0
A First Look at Selection Bias in Preference Elicitation for RecommendationCode0
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