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Results 1-10 of 19
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Issue DateTitleAuthor(s)
1-Jun-2015A distributionally robust perspective on uncertainty quantification and chance constrained programmingHanasusanto, GA; Roitch, V; Kuhn, D; Wiesemann, W
-The Decision Rule Approach to Optimisation under Uncertainty: Methodology and Applications in Operations ManagementGeorghiou, A; Kuhn, D; Wiesemann, W;
10-Nov-2015K-Adaptability in Distributionally Robust Binary ProgrammingHanasusanto, GA; Kuhn, D; Wiesemann, W;
22-Jul-2018Distributionally robust mechanism designKoçyiğit, Ç; Iyengar, G; Kuhn, D; Wiesemann, W;
1-Jul-2019"Dice"-sion making under uncertainty: when can a random decision reduce risk?Delage, E; Kuhn, D; Wiesemann, W;
1-Oct-2019The decision rule approach to optimization under uncertainty: methodology and applicationsGeorghiou, A; Kuhn, D; Wiesemann, W;
1-Aug-2018Chebychev inequalities for products of random variablesRujeerapaiboon, N; Kuhn, D; Wiesemann, W;
22-Oct-2015A comment on "computational complexity of stochastic programming problems"Hanasusanto, GA; Kuhn, D; Wiesemann, W;
25-May-2014Generalized decision rule approximations for stochastic programming via liftingsGeorghiou, A; Wiesemann, W; Kuhn, D
1-Jan-2019Size matters: cardinality-constrained clustering and outlier detection via conic optimizationRujeerapaiboon, N; Schindler, K; Kuhn, D; Wiesemann, W;