10 citations · 14 across the 10 of their papers we have counts for
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cs.GT2021★ 10 cited
Nash Convergence of Mean-Based Learning Algorithms in First-Price Auctions
Xiaotie Deng, Xinyan Hu, Tao Lin +1
The convergence properties of learning dynamics in repeated auctions is a timely and important question, with numerous applications in, e.g., online advertising markets. This work…
cs.GT2021
From Monopoly to Competition: Optimal Contests Prevail
Xiaotie Deng, Yotam Gafni, Ron Lavi +2
We study competition among contests in a general model that allows for an arbitrary and heterogeneous space of contest design, where the goal of the contest designers is to maximiz…
cs.AI2021★ 1 cited
The Optimal Size of an Epistemic Congress
Manon Revel, Tao Lin, Daniel Halpern
We analyze the optimal size of a congress in a representative democracy. We take an epistemic view where voters decide on a binary issue with one ground truth outcome, and each vot…