57 citations · 69 across the 6 of their papers we have counts for
3 papers · 1 filter
Optimizing Generalized Rate Metrics through Game Equilibrium
Harikrishna Narasimhan, Andrew Cotter, Maya Gupta
We present a general framework for solving a large class of learning problems with non-linear functions of classification rates. This includes problems where one wishes to optimize…
Pairwise Fairness for Ranking and Regression
Harikrishna Narasimhan, Andrew Cotter, Maya Gupta +1
We present pairwise fairness metrics for ranking models and regression models that form analogues of statistical fairness notions such as equal opportunity, equal accuracy, and sta…
Minimum-Margin Active Learning
Heinrich Jiang, Maya Gupta
We present a new active sampling method we call min-margin which trains multiple learners on bootstrap samples and then chooses the examples to label based on the candidates' minim…