开课单位--马克斯·普朗克软件系统研究所
1 1/1

1
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices[量化算法不公平性的统一方法：通过不等式指数测量个人和群体不公平性]
  Till Speicher(马克斯·普朗克软件系统研究所) A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices
热度：35

2
Two-Sided Fairness for Repeated Matchings in Two-Sided Markets: A Case Study of a Ride-Hailing Platform[双边市场中重复匹配的双边公平性：一个叫车平台的案例研究]
  Tom Sühr(马克斯·普朗克软件系统研究所) Ride hailing platforms, such as Uber, Lyft, Ola or DiDi, have traditionally focused on the satisfaction of the passengers, or on boosting successful b...
热度：32

3
User Simulation via Supervised Generative Adversarial NetworkFair Partitioning of Public Resources: Redrawing District Boundary to Minimize Spatial Inequality in School Funding[公共资源的公平分配：重新划定地区边界，最大限度地减少学校资金的空间不平等]
  Nuno Mota(马克斯·普朗克软件系统研究所) Fair Partitioning of Public Resources: Redrawing District Boundary to Minimize Spatial Inequality in School Funding
热度：29

4
Fair Partitioning of Public Resources: Redrawing District Boundary to Minimize Spatial Inequality in School Funding[公共资源的公平分配：重新划定地区边界，以最大限度地减少学校资金的空间不平等]
  Nuno Mota(马克斯·普朗克软件系统研究所) Fair Partitioning of Public Resources: Redrawing District Boundary to Minimize Spatial Inequality in School Funding
热度：35
1 1/1