1 citations · 1 across the 4 of their papers we have counts for
4 papers
RWN: A Novel Neighborhood-Based Method for Statistical Disclosure Control
Noah Perry, Norman Matloff, Patrick Tendick
A novel variation of the data swapping approach to statistical disclosure control is presented, aimed particularly at preservation of multivariate relations in the original dataset…
Walk a Mile in Their Shoes: a New Fairness Criterion for Machine Learning
Norman Matloff
The old empathetic adage, ``Walk a mile in their shoes,'' asks that one imagine the difficulties others may face. This suggests a new ML counterfactual fairness criterion, based on…
A Novel Regularization Approach to Fair ML
Norman Matloff, Wenxi Zhang
A number of methods have been introduced for the fair ML issue, most of them complex and many of them very specific to the underlying ML moethodology. Here we introduce a new appro…
Software Alchemy: Turning Complex Statistical Computations into Embarrassingly-Parallel Ones
Norman Matloff
The growth in the use of computationally intensive statistical procedures, especially with Big Data, has necessitated the usage of parallel computation on diverse platforms such as…