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- W4383533388 abstract "Online learning of revenue-optimal auctions is a fundamental problem in mechanism design without priors. Nevertheless, all the existing positive results assume that the auctioneer optimizes over a parameterized class of auctions, such as pricings and auctions with reserves. This is perhaps not surprising given that natural correlations that occur in online sequences pose a challenge to characterizing a succinct class of revenue-optimal auctions. This has left behind a significant gap in our understanding of online-learnability of general classes of non-parametric auctions." @default.
- W4383533388 created "2023-07-08" @default.
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- W4383533388 date "2023-07-07" @default.
- W4383533388 modified "2023-10-18" @default.
- W4383533388 title "Smoothed Analysis of Online Non-parametric Auctions" @default.
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- W4383533388 doi "https://doi.org/10.1145/3580507.3597787" @default.
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