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Friday, March 13, 2020 10:30 am - 10:30 am EDT (GMT -04:00)

Seminar • Waterloo AI Institute — Fair Reward Division

Kate Larson
David R. Cheriton School of Computer Science

Axiomatic approaches are an appealing method for designing fair algorithms, as they provide a formal structure for reasoning about and rationalizing individual decisions. However, to make these algorithms useful in practice, their axioms must appropriately capture social norms.

We explore this tension between fairness axioms and socially acceptable decisions in the context of cooperative game theory for the fair division of rewards.

Wednesday, March 25, 2020 10:30 am - 10:30 am EDT (GMT -04:00)

CANCELLED • Seminar • Scientific Computation — Learning Under Uncertainty: Jumping Out of the Traditional Stochastic Optimization Framework

Please note: This seminar has been cancelled

Niao He, Department of Industrial Systems Engineering and Coordinated Science Laboratory
University of Illinois at Urbana-Champaign