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Found 4 papers, 2 papers with code
Modern Neural Networks Generalize on Small Data Sets
In this paper, we use a linear program to empirically decompose fitted neural networks into ensembles of low-bias sub-networks.
A Convex Framework for Fair Regression
We introduce a flexible family of fairness regularizers for (linear and logistic) regression problems.
Fairness in Criminal Justice Risk Assessments: The State of the Art
Methods: We draw on the existing literatures in criminology, computer science and statistics to provide an integrated examination of fairness and accuracy in criminal justice risk assessments.
Inference for the Effectiveness of Personalized Medicine with Software
We demonstrate our method's promise on simulated data as well as on data from a randomized trial investigating two treatments for depression.
Methodology
