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Convex-Concave Min-Max Stackelberg Games., and . NeurIPS, page 2991-3003. (2021)Tâtonnement in Homothetic Fisher Markets., , and . EC, page 760-781. ACM, (2023)An Algorithmic Theory of Markets and Their Application to Decentralized Markets.. AAAI, page 12878-12879. AAAI Press, (2022)Gradient Descent Ascent in Min-Max Stackelberg Games., and . CoRR, (2022)Banzhaf Power in Hierarchical Games., , and . AAMAS, page 2432-2434. International Foundation for Autonomous Agents and Multiagent Systems / ACM, (2024)Zero-Sum Stochastic Stackelberg Games., , and . NeurIPS, (2022)Generative Adversarial Equilibrium Solvers., , , , , , , and . CoRR, (2023)Robust No-Regret Learning in Min-Max Stackelberg Games., , and . AAMAS, page 543-552. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)A Consumer-Theoretic Characterization of Fisher Market Equilibria., , and . WINE, volume 13112 of Lecture Notes in Computer Science, page 334-351. Springer, (2021)Fisher Markets with Social Influence., , and . AAAI, page 5900-5909. AAAI Press, (2023)