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Selection bias

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Showing 51–100 of 365 papers

TitleStatusHype
Not All Languages are Equal: Insights into Multilingual Retrieval-Augmented GenerationCode0
Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery—0
A Systematic Review of Machine Learning Approaches for Detecting Deceptive Activities on Social Media: Methods, Challenges, and Biases—0
Inference on High Dimensional Selective Labeling Models—0
Heterogeneous Random ForestCode0
Leveraging CORAL-Correlation Consistency Network for Semi-Supervised Left Atrium MRI SegmentationCode0
CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-JudgesCode0
Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models—0
Partially Identified Heterogeneous Treatment Effect with Selection: An Application to Gender Gaps—0
DCAST: Diverse Class-Aware Self-Training Mitigates Selection Bias for Fairer LearningCode0
Mitigating Selection Bias with Node Pruning and Auxiliary Options—0
Decolonising Data Systems: Using Jyutping or Pinyin as tonal representations of Chinese names for data linkageCode0
From Lazy to Prolific: Tackling Missing Labels in Open Vocabulary Extreme Classification by Positive-Unlabeled Sequence Learning—0
GABInsight: Exploring Gender-Activity Binding Bias in Vision-Language ModelsCode0
On the Effects of Irrelevant Variables in Treatment Effect Estimation with Deep DisentanglementCode0
Large Language Models as Co-Pilots for Causal Inference in Medical Studies—0
Augmented prediction of a true class for Positive Unlabeled data under selection biasCode0
Towards Systematic Monolingual NLP Surveys: GenA of Greek NLPCode0
Stable Heterogeneous Treatment Effect Estimation across Out-of-Distribution PopulationsCode0
Proximity Matters: Local Proximity Preserved Balancing for Treatment Effect Estimation—0
DIRAS: Efficient LLM Annotation of Document Relevance in Retrieval Augmented GenerationCode0
Can Many-Shot In-Context Learning Help LLMs as Evaluators? A Preliminary Empirical Study—0
Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice SelectorsCode0
Sparse-Group Boosting with Balanced Selection Frequencies: A Simulation-Based Approach and R ImplementationCode0
Jump-teaching: Ultra Efficient and Robust Learning with Noisy Label—0
Revisiting Counterfactual Regression through the Lens of Gromov-Wasserstein Information BottleneckCode0
Challenging Gradient Boosted Decision Trees with Tabular Transformers for Fraud Detection at Booking.com—0
The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems—0
Sample Selection Bias in Machine Learning for HealthcareCode0
Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems—0
A Model-based Multi-Agent Personalized Short-Video Recommender System—0
A First Look at Selection Bias in Preference Elicitation for RecommendationCode0
Be Aware of the Neighborhood Effect: Modeling Selection Bias under InterferenceCode0
Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender SystemsCode0
A Nonresponse Bias Correction using Nonrandom Followup with an Application to the Gender Entrepreneurship Gap—0
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect EstimationCode0
How to be fair? A study of label and selection bias—0
Confidence on the Focal: Conformal Prediction with Selection-Conditional CoverageCode0
Evaluating and Correcting Performative Effects of Decision Support Systems via Causal Domain Shift—0
Doubly Calibrated Estimator for Recommendation on Data Missing Not At RandomCode0
Sample-Efficient Linear Regression with Self-Selection Bias—0
CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation—0
Continuous Treatment Effects with Surrogate Outcomes—0
Causal Machine Learning for Cost-Effective Allocation of Development AidCode0
The Carbon Premium: Correlation or Causation? Evidence from S&P 500 Companies—0
Reducing Selection Bias in Large Language Models—0
Modeling Latent Selection with Structural Causal Models—0
A Shocking Amount of the Web is Machine Translated: Insights from Multi-Way ParallelismCode0
Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach—0
Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality SelectionCode0
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