A primal-dual mechanism with lazy dual updates, randomized exploration, and a fixed-point optimistic learning rule achieves Õ(√T) regret with near-truthful strategic agents under long-term constraints.
Repeated contextual auctions with strategic buyers
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Efficiency, Feasibility, and Incentive-Awareness in Constrained Online Resource Allocation
A primal-dual mechanism with lazy dual updates, randomized exploration, and a fixed-point optimistic learning rule achieves Õ(√T) regret with near-truthful strategic agents under long-term constraints.