27 citations · 50 across the 4 of their papers we have counts for
4 papers
Fair Generalized Linear Models with a Convex Penalty
Hyungrok Do, Preston Putzel, Axel Martin +2
Despite recent advances in algorithmic fairness, methodologies for achieving fairness with generalized linear models (GLMs) have yet to be explored in general, despite GLMs being w…
Blackbox Post-Processing for Multiclass Fairness
Preston Putzel, Scott Lee
Applying standard machine learning approaches for classification can produce unequal results across different demographic groups. When then used in real-world settings, these inequ…
Joint Fairness Model with Applications to Risk Predictions for Under-represented Populations
Hyungrok Do, Shinjini Nandi, Preston Putzel +2
In data collection for predictive modeling, under-representation of certain groups, based on gender, race/ethnicity, or age, may yield less-accurate predictions for these groups. R…
Cross-Modal Health State Estimation
Nitish Nag, Vaibhav Pandey, Preston J. Putzel +3
Individuals create and consume more diverse data about themselves today than any time in history. Sources of this data include wearable devices, images, social media, geospatial in…