19 citations · 26 across the 4 of their papers we have counts for
4 papers
Fairness Hub Technical Briefs: AUC Gap
Jinsook Lee, Chris Brooks, Renzhe Yu +1
To measure bias, we encourage teams to consider using AUC Gap: the absolute difference between the highest and lowest test AUC for subgroups (e.g., gender, race, SES, prior knowled…
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity
Josh Gardner, Renzhe Yu, Quan Nguyen +2
Modern machine learning increasingly supports paradigms that are multi-institutional (using data from multiple institutions during training) or cross-institutional (using models fr…
Should College Dropout Prediction Models Include Protected Attributes?
Renzhe Yu, Hansol Lee, René F. Kizilcec
Early identification of college dropouts can provide tremendous value for improving student success and institutional effectiveness, and predictive analytics are increasingly used…
Unsupervised Representations Predict Popularity of Peer-Shared Artifacts in an Online Learning Environment
Renzhe Yu, John Scott, Zachary A. Pardos
In online collaborative learning environments, students create content and construct their own knowledge through complex interactions over time. To facilitate effective social lear…