Fairness in machine learning - Groups

Fair and Optimal Classification via Post-Processing

This paper describes a differentially private post-processing algorithm for learning attribute-aware fair regressors.

Dataset
JSON

Fair and Private Post-Processing for Attribute-Aware Fair Regression

This paper describes a differentially private post-processing algorithm for learning attribute-aware fair regressors.

Dataset
JSON

Differentially Private Post-Processing for Fair Regression

This paper describes a differentially private post-processing algorithm for learning attribute-aware fair regressors.

Dataset
JSON

Adult dataset

A commonly observed pattern in machine learning models is an underprediction of the target feature, with the model’s predicted target rate for members of a given category...

Dataset
JSON

4 datasets found

Fair and Optimal Classification via Post-Processing

Fair and Private Post-Processing for Attribute-Aware Fair Regression

Differentially Private Post-Processing for Fair Regression

Adult dataset