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20192026
most citedNash Convergence of Mean-Based Learning Algorithms in First-Price Auctions

10 citations · 14 across the 10 of their papers we have counts for

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cs.GT2026

Gradient Dynamics in First-Price Auctions: Iterative Strategy Elimination via Cubic Potentials

Mete Şeref Ahunbay, Weiqiang Zheng, Tao Lin

We show that in discretised first-price auctions with complete information, if the buyers learn to bid with online gradient ascent, in time-average the outcome is (almost) the effi…