85 citations · 200 across the 24 of their papers we have counts for
4 papers · 1 filter
ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning
Kevin Kuo, Anthony Ostuni, Elizabeth Horishny +5
The design of revenue-maximizing auctions with strong incentive guarantees is a core concern of economic theory. Computational auctions enable online advertising, sourcing, spectru…
The Affiliate Matching Problem: On Labor Markets where Firms are Also Interested in the Placement of Previous Workers
Samuel Dooley, John P. Dickerson
In many labor markets, workers and firms are connected via affiliative relationships. A management consulting firm wishes to both accept the best new workers but also place its cur…
Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning
Vedant Nanda, Samuel Dooley, Sahil Singla +2
Deep neural networks (DNNs) are increasingly used in real-world applications (e.g. facial recognition). This has resulted in concerns about the fairness of decisions made by these…
Can an Algorithm be My Healthcare Proxy?
Duncan C McElfresh, Samuel Dooley, Yuan Cui +5
Planning for death is not a process in which everyone participates. Yet a lack of planning can have vast impacts on a patient's well-being, the well-being of her family, and the me…