“…A number of papers consider distributionally robust versions of standard problems, in which the designer does not know all relevant distributions but might have some partial information, such as that distributions belong to a set with certain properties, bounds on the supports, or restrictions on means or other moments. Much of this work studies optimal mechanisms under worst case maxmin revenue guarantees or other revenue or welfare goals, including Auster (2018), Bergemann and Schlag (2008), Bergemann and Schlag (2011), Carrasco, Luz, Kos, Messner, Monteiro and Moreira (2018), Fu, Haghpanah, Hartline and Kleinberg (2017, Koçyigit, Iyengar, Kuhn and Wiesemann (2020), Neeman (2003), andSuzdaltsev (2020). Similarly, Ollár andPenta (2017, 2019) study full and partial implementation under moment conditions on the set of possible distributions.…”