10 citations · 11 across the 8 of their papers we have counts for
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cs.GT2020
A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling
Xiaotie Deng, Ron Lavi, Tao Lin +3
The Empirical Revenue Maximization (ERM) is one of the most important price learning algorithms in auction design: as the literature shows it can learn approximately optimal reserv…
cs.GT2020
Learning Utilities and Equilibria in Non-Truthful Auctions
Hu Fu, Tao Lin
In non-truthful auctions, agents' utility for a strategy depends on the strategies of the opponents and also the prior distribution over their private types; the set of Bayes Nash…