Sequential Fair Allocation - Achieving the Optimal Envy-Efficiency Tradeoff Curve

Watch a research lecture from the 2022 Symposium on Foundations of Responsible Computing where Cornell University's Christina Yu explores the challenges and solutions for achieving fairness in sequential resource allocation. Dive into the mathematical framework for dividing limited resources among individuals arriving over time, with a focus on balancing envy-freeness and Pareto efficiency. Learn about the HopeGuardrail algorithm, which provides a novel approach to managing the inherent trade-off between fairness and efficiency in online allocation scenarios. Understand how this algorithm adapts to different fairness-efficiency requirements and performs close to optimal fair solutions in practical applications. Explore the theoretical foundations including the uncertainty principle that establishes fundamental limits on simultaneously achieving envy-freeness and efficiency in sequential allocation problems.