We study the problem of computing data-driven personalized reserve prices in eager second price auctions without having any assumption on valuation distributions. Here, input is a data set that contains submitted bids n buyers auctions, and to return r maximize revenue earned these by running with r. For this problem, which known be NP complete, we present novel linear program (LP) formulation ...

Abstract It is shown that already the knowledge of saturation class $$\, {{\mathfrak {F}}}(J_t, L^p) $$ F ( J t , L p ) ...