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Selection bias
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이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
LLM-Generated Feedback Supports Learning If Learners Choose to Use It
Addressing Correlated Latent Exogenous Variables in Debiased Recommender Systems
Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness
Recover Experimental Data with Selection Bias using Counterfactual Logic
Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints
Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference
Representation Learning Preserving Ignorability and Covariate Matching for Treatment Effects
On the Value of Cross-Modal Misalignment in Multimodal Representation Learning
Can SGD Select Good Fishermen? Local Convergence under Self-Selection Biases and Beyond
Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding
When Selection Meets Intervention: Additional Complexities in Causal Discovery
Determinants of the Spousal Age Gap in India: Analysis of Indian Microdata
ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling
Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders
Instrumental Variables with Time-Varying Exposure: New Estimates of Revascularization Effects on Quality of Life
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine
Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction
EVOS: Efficient Implicit Neural Training via EVOlutionary Selector
EGEAN: An Exposure-Guided Embedding Alignment Network for Post-Click Conversion Estimation
Metric-DST: Mitigating Selection Bias Through Diversity-Guided Semi-Supervised Metric Learning
A Flexible Defense Against the Winner's Curse
Lee Bounds with a Continuous Treatment in Sample Selection
A Directional Rockafellar-Uryasev Regression
Diversidade linguística e inclusão digital: desafios para uma ia brasileira
Not All Languages are Equal: Insights into Multilingual Retrieval-Augmented Generation
Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery
RecFlow: An Industrial Full Flow Recommendation Dataset
A Systematic Review of Machine Learning Approaches for Detecting Deceptive Activities on Social Media: Methods, Challenges, and Biases
Inference on High Dimensional Selective Labeling Models
Heterogeneous Random Forest
Leveraging CORAL-Correlation Consistency Network for Semi-Supervised Left Atrium MRI Segmentation
CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges
Addressing Blind Guessing: Calibration of Selection Bias in Multiple-Choice Question Answering by Video Language Models
DiffPO: A causal diffusion model for learning distributions of potential outcomes
Partially Identified Heterogeneous Treatment Effect with Selection: An Application to Gender Gaps
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