Abstract:We study the problem of multi-dimensional revenue maximization when selling
m
items to a buyer that has additive valuations for them, drawn from a (possibly correlated) prior distribution. Unlike traditional Bayesian auction design, we assume that the seller has a very restricted knowledge of this prior: they only know the mean
μ
j
and an upper bound
σ
j
on… Show more
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