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Non-convex Optimization for Learning a Fair Predictor under Equalized Loss Fairness Constraint
In general, finding a fair predictor leads to a constrained optimization problem, and depending on the fairness notion, it may be non-convex.
RewardRating: A Mechanism Design Approach to Improve Rating Systems
Our proposed mechanism \textit{RewardRating} is inspired by the stock market model in which users can invest in their ratings for services and receive a reward based on future ratings.
Computer Science and Game Theory
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