| Distributionally robust convex optimization W Wiesemann, D Kuhn, M Sim Operations research 62 (6), 1358-1376, 2014 | 1066 | 2014 |
| Robust Markov decision processes W Wiesemann, D Kuhn, B Rustem Mathematics of Operations Research 38 (1), 153-183, 2013 | 500 | 2013 |
| Primal and dual linear decision rules in stochastic and robust optimization D Kuhn, W Wiesemann, A Georghiou Mathematical Programming 130, 177-209, 2011 | 340 | 2011 |
| The robust capacitated vehicle routing problem under demand uncertainty CE Gounaris, W Wiesemann, CA Floudas Operations Research 61 (3), 677-693, 2013 | 266 | 2013 |
| K-Adaptability in Two-Stage Robust Binary Programming GA Hanasusanto, D Kuhn, W Wiesemann Operations Research 63 (4), 877-891, 2015 | 210 | 2015 |
| Data-driven chance constrained programs over Wasserstein balls Z Chen, D Kuhn, W Wiesemann Operations Research 72 (1), 410-424, 2024 | 204 | 2024 |
| A distributionally robust perspective on uncertainty quantification and chance constrained programming GA Hanasusanto, V Roitch, D Kuhn, W Wiesemann Mathematical Programming 151, 35-62, 2015 | 197 | 2015 |
| Generalized decision rule approximations for stochastic programming via liftings A Georghiou, W Wiesemann, D Kuhn Mathematical Programming 152, 301-338, 2015 | 196 | 2015 |
| Ambiguous joint chance constraints under mean and dispersion information GA Hanasusanto, V Roitch, D Kuhn, W Wiesemann Operations Research 65 (3), 751-767, 2017 | 165 | 2017 |
| Pessimistic bilevel optimization W Wiesemann, A Tsoukalas, PM Kleniati, B Rustem SIAM Journal on Optimization 23 (1), 353-380, 2013 | 142 | 2013 |
| Maximizing the net present value of a project under uncertainty W Wiesemann, D Kuhn, B Rustem European Journal of Operational Research 202 (2), 356-367, 2010 | 121 | 2010 |
| Robust dual dynamic programming A Georghiou, A Tsoukalas, W Wiesemann Operations Research 67 (3), 813-830, 2019 | 105 | 2019 |
| A comment on “computational complexity of stochastic programming problems” GA Hanasusanto, D Kuhn, W Wiesemann Mathematical Programming 159, 557-569, 2016 | 98 | 2016 |
| K-adaptability in two-stage mixed-integer robust optimization A Subramanyam, CE Gounaris, W Wiesemann Mathematical Programming Computation 12, 193-224, 2020 | 88 | 2020 |
| The distributionally robust chance-constrained vehicle routing problem S Ghosal, W Wiesemann Operations Research 68 (3), 716-732, 2020 | 81 | 2020 |
| A stochastic programming approach for qos-aware service composition W Wiesemann, R Hochreiter, D Kuhn 2008 Eighth IEEE international symposium on cluster computing and the grid …, 2008 | 81 | 2008 |
| An adaptive memory programming framework for the robust capacitated vehicle routing problem CE Gounaris, PP Repoussis, CD Tarantilis, W Wiesemann, CA Floudas Transportation Science 50 (4), 1239-1260, 2016 | 79 | 2016 |
| Fast Bellman updates for robust MDPs CP Ho, M Petrik, W Wiesemann International Conference on Machine Learning, 1979-1988, 2018 | 73 | 2018 |
| Robust growth-optimal portfolios N Rujeerapaiboon, D Kuhn, W Wiesemann Management Science 62 (7), 2090-2109, 2016 | 71 | 2016 |
| Scenario reduction revisited: Fundamental limits and guarantees N Rujeerapaiboon, K Schindler, D Kuhn, W Wiesemann Mathematical Programming 191 (1), 207-242, 2022 | 66 | 2022 |
