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Selection bias

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Showing 1–50 of 365 papers

TitleStatusHype
Quantum Neural Networks for Propensity Score Estimation and Survival Analysis in Observational Biomedical Studies—0
LLM-Generated Feedback Supports Learning If Learners Choose to Use ItCode0
Addressing Correlated Latent Exogenous Variables in Debiased Recommender SystemsCode0
Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness—0
Recover Experimental Data with Selection Bias using Counterfactual Logic—0
Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints—0
Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference—0
Representation Learning Preserving Ignorability and Covariate Matching for Treatment EffectsCode0
On the Value of Cross-Modal Misalignment in Multimodal Representation LearningCode0
Can SGD Select Good Fishermen? Local Convergence under Self-Selection Biases and Beyond—0
Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding—0
When Selection Meets Intervention: Additional Complexities in Causal DiscoveryCode0
Determinants of the Spousal Age Gap in India: Analysis of Indian Microdata—0
ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling—0
Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders—0
Instrumental Variables with Time-Varying Exposure: New Estimates of Revascularization Effects on Quality of Life—0
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine—0
Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction—0
EVOS: Efficient Implicit Neural Training via EVOlutionary SelectorCode1
EGEAN: An Exposure-Guided Embedding Alignment Network for Post-Click Conversion EstimationCode0
A Flexible Defense Against the Winner's Curse—0
Metric-DST: Mitigating Selection Bias Through Diversity-Guided Semi-Supervised Metric LearningCode0
Lee Bounds with a Continuous Treatment in Sample Selection—0
A Directional Rockafellar-Uryasev Regression—0
Diversidade linguística e inclusão digital: desafios para uma ia brasileira—0
Not All Languages are Equal: Insights into Multilingual Retrieval-Augmented GenerationCode0
RecFlow: An Industrial Full Flow Recommendation DatasetCode2
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
DiffPO: A causal diffusion model for learning distributions of potential outcomesCode1
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
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and MetricsCode1
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
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