4 papers
Algorithms and Analysis for Optimizing Robust Objectives in Fair Machine Learning
Cyrus Cousins
The original position or veil of ignorance argument of John Rawls, perhaps the most famous argument for egalitarianism, states that our concept of fairness, justice, or welfare sho…
Percentile Criterion Optimization in Offline Reinforcement Learning
Elita A. Lobo, Cyrus Cousins, Yair Zick +1
In reinforcement learning, robust policies for high-stakes decision-making problems with limited data are usually computed by optimizing the \emph{percentile criterion}. The percen…
The Good, the Bad and the Submodular: Fairly Allocating Mixed Manna Under Order-Neutral Submodular Preferences
Cyrus Cousins, Vignesh Viswanathan, Yair Zick
We study the problem of fairly allocating indivisible goods (positively valued items) and chores (negatively valued items) among agents with decreasing marginal utilities over item…
Computational and Data Requirements for Learning Generic Properties of Simulation-Based Games
Cyrus Cousins, Bhaskar Mishra, Enrique Areyan Viqueira +1
Empirical game-theoretic analysis (EGTA) is primarily focused on learning the equilibria of simulation-based games. Recent approaches have tackled this problem by learning a unifor…