Multicalibrated Regression for Downstream Fairness.
Ira Globus-HarrisVarun GuptaChristopher JungMichael KearnsJamie MorgensternAaron RothPublished in: CoRR (2022)
Keyphrases
- regression model
- linear regression
- regression algorithm
- gaussian processes
- model selection
- regression methods
- database
- regression analysis
- resource allocation
- supply chain
- support vector
- ridge regression
- machine learning
- least squares
- polynomial regression
- ordinary least squares
- kernel ridge regression
- sparse bayesian learning
- reproducing kernel hilbert space
- partial least squares
- linear models
- cooperative
- image sequences
- clustering algorithm
- website
- genetic algorithm
- neural network
- real time