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Dear colleagues: We are writing to share our vision about the recently formed Revenue Management and Market Analytics department in Management Science. We welcome papers from the SIGecom community!
This is the fourth annual collection of profiles of the junior faculty job market candidates of the SIGecom community. The twenty five candidates for 2019 are listed alphabetically and indexed by research areas that define the interests of the community. The candidates can be contacted...
We highlight recent progress in worst-case analysis of welfare in first price auctions. It was shown in [Syrgkanis and Tardos 2013] that in any Bayes-Nash equilibrium of a first-price auction, the expected social welfare is at least a (1 - 1/e) .63-fraction of optimal. This result uses...
A central problem in mechanism design is how to design simple and approximately revenue-optimal auctions in multi-item multi-buyer settings. Prior to our work, all results only apply to cases where the buyers' valuations are linear over the items. We unify and improve all previous results, as...
In this letter, we outline some of the results from our recent work, which is part of an emerging line of research at the intersection of machine learning and mechanism design aiming to avoid noise in training data by correctly aligning the incentives of data sources. Specifically, we focus on...
The classic prophet inequality states that, when faced with a finite sequence of non-negative independent random variables, a gambler who knows their distribution and is allowed to stop the sequence at any time, can obtain, in expectation, at least half as much reward as a prophet who knows the...
This issue of SIGEcom Exchanges contains one brief announcement followed by four research letters. The 2019 SIGEcom Job Candidates Profiles, compiled last year again by Jason Hartline and Vasilis Gkatzelis, were published separately and are now officially included in the issue.
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