59 citations · 99 across the 12 of their papers we have counts for
3 papers · 1 filter
Revisiting Sparse Matrix Coloring and Bicoloring
Alexis Montoison, Guillaume Dalle, Assefaw Gebremedhin
Sparse matrix coloring and bicoloring are fundamental building blocks of sparse automatic differentiation. Bicoloring is particularly advantageous for rectangular Jacobian matrices…
Facets of Disparate Impact: Evaluating Legally Consistent Bias in Machine Learning
Jarren Briscoe, Assefaw Gebremedhin
Leveraging current legal standards, we define bias through the lens of marginal benefits and objective testing with the novel metric "Objective Fairness Index". This index combines…
Algorithmic Accountability in Small Data: Sample-Size-Induced Bias Within Classification Metrics
Jarren Briscoe, Garrett Kepler, Daryl Deford +1
Evaluating machine learning models is crucial not only for determining their technical accuracy but also for assessing their potential societal implications. While the potential fo…