… In this section, we begin our study of robust revenue maximization by looking at the
simplest case: one item and deterministic pricing rules. Note that Azar and Micali [4] already …

… In this section we begin our study of robust revenue maximization by looking at the simplest
case: one item and deterministic pricing rules. Note that [3] already established a lower …

… case the empirical-revenue-maximizing auction may perform … maximize the empirical
revenue, in a way that is robust against … In particular, we note that the minimal winning bid of any …

… data-driven perspective on robust mechanism design holds promise for the broader study
of mechanism design under … We stress the minimal informational assumptions made. In …

… – such as the Sortino ratio and the Omega Statistic – are all equivalent to the ordinary Sharpe
… The authors test the robust strategies on real market data and discuss performance of the …

… data items of the cluster to which it belongs, and b(e) is the minimum average distance
between e and the data … In the following, we will test the robustness of MAP (ie, when the …

… on data-driven distributionally robust controls for the quantity-based network revenue
management … For each marginal hypothesis, we apply a certain GoF test with the test statistic SN …

… the metamodel in a robust manner (ie obtaining optimum value with minimum variance). …
that is used in mine data warehouse instead of default statistics outputs from simulation software…

… The data loss statistics are only introduced indirectly, through … protocol for flexible and robust
forwarding of data, using relatively … This is a minimum level of service that the operator must …