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Found 4 papers, 3 papers with code
Instrumented Difference-in-Differences
Unmeasured confounding is a key threat to reliable causal inference based on observational studies.
Causal Inference
Methodology
FastSeq: Make Sequence Generation Faster
Transformer-based models have made tremendous impacts in natural language generation.
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data
Specifically, FIFA encourages both classification and fairness generalization and can be flexibly combined with many existing fair learning methods with logits-based losses.
Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks
As machine learning has been deployed ubiquitously across applications in modern data science, algorithmic fairness has become a great concern.
