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Wolfram Wiesemann
Wolfram Wiesemann
Professor of Analytics and Operations, Imperial College Business School
Verified email at imperial.ac.uk - Homepage
Title
Cited by
Cited by
Year
Distributionally robust convex optimization
W Wiesemann, D Kuhn, M Sim
Operations research 62 (6), 1358-1376, 2014
9762014
Robust Markov decision processes
W Wiesemann, D Kuhn, B Rustem
Mathematics of Operations Research 38 (1), 153-183, 2013
4262013
Primal and dual linear decision rules in stochastic and robust optimization
D Kuhn, W Wiesemann, A Georghiou
Mathematical Programming 130, 177-209, 2011
3292011
The robust capacitated vehicle routing problem under demand uncertainty
CE Gounaris, W Wiesemann, CA Floudas
Operations Research 61 (3), 677-693, 2013
2572013
K-Adaptability in Two-Stage Robust Binary Programming
GA Hanasusanto, D Kuhn, W Wiesemann
Operations Research 63 (4), 877-891, 2015
2052015
Generalized decision rule approximations for stochastic programming via liftings
A Georghiou, W Wiesemann, D Kuhn
Mathematical Programming 152, 301-338, 2015
1892015
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
1802015
Data-driven chance constrained programs over Wasserstein balls
Z Chen, D Kuhn, W Wiesemann
Operations Research 72 (1), 410-424, 2024
1732024
Ambiguous joint chance constraints under mean and dispersion information
GA Hanasusanto, V Roitch, D Kuhn, W Wiesemann
Operations Research 65 (3), 751-767, 2017
1552017
Pessimistic bilevel optimization
W Wiesemann, A Tsoukalas, PM Kleniati, B Rustem
SIAM Journal on Optimization 23 (1), 353-380, 2013
1332013
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
1142010
A comment on “computational complexity of stochastic programming problems”
GA Hanasusanto, D Kuhn, W Wiesemann
Mathematical Programming 159, 557-569, 2016
932016
Robust dual dynamic programming
A Georghiou, A Tsoukalas, W Wiesemann
Operations Research 67 (3), 813-830, 2019
902019
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
822008
K-adaptability in two-stage mixed-integer robust optimization
A Subramanyam, CE Gounaris, W Wiesemann
Mathematical Programming Computation 12, 193-224, 2020
802020
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
762016
The distributionally robust chance-constrained vehicle routing problem
S Ghosal, W Wiesemann
Operations Research 68 (3), 716-732, 2020
732020
Robust growth-optimal portfolios
N Rujeerapaiboon, D Kuhn, W Wiesemann
Management Science 62 (7), 2090-2109, 2016
692016
SQPR: Stream query planning with reuse
E Kalyvianaki, W Wiesemann, QH Vu, D Kuhn, P Pietzuch
2011 IEEE 27th International Conference on Data Engineering, 840-851, 2011
652011
Fast Bellman updates for robust MDPs
CP Ho, M Petrik, W Wiesemann
International Conference on Machine Learning, 1979-1988, 2018
612018
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