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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
EVOS: Efficient Implicit Neural Training via EVOlutionary SelectorCode1
DiffPO: A causal diffusion model for learning distributions of potential outcomesCode1
Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and MetricsCode1
Leveraging Ensemble Diversity for Robust Self-Training in the Presence of Sample Selection BiasCode1
Large Language Models Are Not Robust Multiple Choice SelectorsCode1
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular DataCode1
What Makes ImageNet Look Unlike LAIONCode1
Discovering and Explaining the Non-Causality of Deep Learning in SAR ATRCode1
Mathematical Capabilities of ChatGPTCode1
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the CentroidCode1
Exploring Transformer Backbones for Heterogeneous Treatment Effect EstimationCode1
SurvTRACE: Transformers for Survival Analysis with Competing EventsCode1
Gradient Imitation Reinforcement Learning for Low Resource Relation ExtractionCode1
Uncovering Main Causalities for Long-tailed Information ExtractionCode1
Difference-in-Differences with a Continuous TreatmentCode1
An Information-theoretic Approach to Distribution ShiftsCode1
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate EstimationCode1
Unmasking the Mask -- Evaluating Social Biases in Masked Language ModelsCode1
Matched sample selection with GANs for mitigating attribute confoundingCode1
Unifying Online and Counterfactual Learning to RankCode1
Bias and Debias in Recommender System: A Survey and Future DirectionsCode1
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail PerformanceCode1
PanNuke Dataset Extension, Insights and BaselinesCode1
A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection BiasCode1
Quantum Neural Networks for Propensity Score Estimation and Survival Analysis in Observational Biomedical Studies0
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 fairnessCode0
Recover Experimental Data with Selection Bias using Counterfactual Logic0
Smart Surrogate Losses for Contextual Stochastic Linear Optimization with Robust Constraints0
Ice Cream Doesn't Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference0
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 Beyond0
Regression-Based Estimation of Causal Effects in the Presence of Selection Bias and Confounding0
When Selection Meets Intervention: Additional Complexities in Causal DiscoveryCode0
Determinants of the Spousal Age Gap in India: Analysis of Indian Microdata0
ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling0
Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders0
Instrumental Variables with Time-Varying Exposure: New Estimates of Revascularization Effects on Quality of Life0
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine0
Entire-Space Variational Information Exploitation for Post-Click Conversion Rate Prediction0
EGEAN: An Exposure-Guided Embedding Alignment Network for Post-Click Conversion EstimationCode0
Metric-DST: Mitigating Selection Bias Through Diversity-Guided Semi-Supervised Metric LearningCode0
A Flexible Defense Against the Winner's Curse0
Lee Bounds with a Continuous Treatment in Sample Selection0
A Directional Rockafellar-Uryasev Regression0
Diversidade linguística e inclusão digital: desafios para uma ia brasileira0
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