75 citations · 88 across the 2 of their papers we have counts for
2 papers
cs.IR2022★ 75 cited
Toward Pareto Efficient Fairness-Utility Trade-off inRecommendation through Reinforcement Learning
Yingqiang Ge, Xiaoting Zhao, Lucia Yu +4
The issue of fairness in recommendation is becoming increasingly essential as Recommender Systems touch and influence more and more people in their daily lives. In fairness-aware r…
stat.ML2014★ 13 cited
Feature Selection for Linear SVM with Provable Guarantees
Saurabh Paul, Malik Magdon-Ismail, Petros Drineas
We give two provably accurate feature-selection techniques for the linear SVM. The algorithms run in deterministic and randomized time respectively. Our algorithms can be used in a…