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Selection bias

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TitleStatusHype
Visual Encoding and Debiasing for CTR Prediction—0
What Makes A Good Fisherman? Linear Regression under Self-Selection Bias—0
Does Interference Exist When Training a Once-For-All Network?Code0
Training Entire-Space Models for Target-oriented Opinion Words ExtractionCode0
ESCM^2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate EstimationCode0
Unbiased Top-k Learning to Rank with Causal Likelihood DecompositionCode0
Racial Sentencing Disparities and Differential Progression Through the Criminal Justice System: Evidence From Linked Federal and State Court Data—0
Implications of Mortality Displacement for Effect Modification and Selection Bias—0
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations—0
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials—0
Local Constraint-Based Causal Discovery under Selection BiasCode0
Learning Group Importance using the Differentiable Hypergeometric DistributionCode0
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data—0
Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services—0
UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation—0
DRTCI: Learning Disentangled Representations for Temporal Causal Inference—0
Debiased Graph Neural Networks with Agnostic Label Selection Bias—0
REST: Debiased Social Recommendation via Reconstructing Exposure StrategiesCode0
Heckman-Selection or Two-Part models for alcohol studies? Depends—0
Rethinking Importance Weighting for Transfer Learning—0
More Reviews May Not Help: Evidence from Incentivized First Reviews on Airbnb—0
Generalizing Off-Policy Learning under Sample Selection Bias—0
It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are DynamicCode0
Iterative Causal Discovery in the Possible Presence of Latent Confounders and Selection BiasCode0
Recursive Causal Structure Learning in the Presence of Latent Variables and Selection BiasCode0
Fair Regression under Sample Selection Bias—0
Machine Learning Practices Outside Big Tech: How Resource Constraints Challenge Responsible Development—0
SAM: A Self-adaptive Attention Module for Context-Aware Recommendation System—0
Delve into the Performance Degradation of Differentiable Architecture Search—0
Correcting the User Feedback-Loop Bias for Recommendation Systems—0
Fighting Selection Bias in Statistical Learning: Application to Visual Recognition from Biased Image Databases—0
Continuous Treatment Recommendation with Deep Survival Dose Response Function—0
The Effect of Noise Level on Causal Identification with Additive Noise ModelsCode0
Incentivizing Compliance with Algorithmic InstrumentsCode0
CETransformer: Casual Effect Estimation via Transformer Based Representation Learning—0
Bias-Tolerant Fair Classification—0
Interventional Video Grounding with Dual Contrastive LearningCode0
AAA: Fair Evaluation for Abuse Detection Systems WantedCode0
Causal Bias Quantification for Continuous Treatments—0
Fast and More Powerful Selective Inference for Sparse High-order Interaction Model—0
Sample Selection Bias in Evaluation of Prediction Performance of Causal ModelsCode0
Robust Fairness-aware Learning Under Sample Selection Bias—0
On planetary systems as ordered sequences—0
Probing the Effect of Selection Bias on Generalization: A Thought Experiment—0
Be Causal: De-biasing Social Network Confounding in Recommendation—0
Robustness of end-to-end Automatic Speech Recognition Models -- A Case Study using Mozilla DeepSpeech—0
Algorithms are not neutral: Bias in collaborative filtering—0
Synthesized Difference in Differences—0
Fast Distributionally Robust Learning with Variance Reduced Min-Max Optimization—0
Algorithm as Experiment: Machine Learning, Market Design, and Policy Eligibility RulesCode0
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