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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
10072014
Robust Markov decision processes
W Wiesemann, D Kuhn, B Rustem
Mathematics of Operations Research 38 (1), 153-183, 2013
4582013
Primal and dual linear decision rules in stochastic and robust optimization
D Kuhn, W Wiesemann, A Georghiou
Mathematical Programming 130, 177-209, 2011
3332011
The robust capacitated vehicle routing problem under demand uncertainty
CE Gounaris, W Wiesemann, CA Floudas
Operations Research 61 (3), 677-693, 2013
2592013
K-Adaptability in Two-Stage Robust Binary Programming
GA Hanasusanto, D Kuhn, W Wiesemann
Operations Research 63 (4), 877-891, 2015
2032015
Generalized decision rule approximations for stochastic programming via liftings
A Georghiou, W Wiesemann, D Kuhn
Mathematical Programming 152, 301-338, 2015
1922015
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
1872015
Data-driven chance constrained programs over Wasserstein balls
Z Chen, D Kuhn, W Wiesemann
Operations Research 72 (1), 410-424, 2024
1822024
Ambiguous joint chance constraints under mean and dispersion information
GA Hanasusanto, V Roitch, D Kuhn, W Wiesemann
Operations Research 65 (3), 751-767, 2017
1592017
Pessimistic bilevel optimization
W Wiesemann, A Tsoukalas, PM Kleniati, B Rustem
SIAM Journal on Optimization 23 (1), 353-380, 2013
1352013
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
1172010
Robust dual dynamic programming
A Georghiou, A Tsoukalas, W Wiesemann
Operations Research 67 (3), 813-830, 2019
962019
A comment on “computational complexity of stochastic programming problems”
GA Hanasusanto, D Kuhn, W Wiesemann
Mathematical Programming 159, 557-569, 2016
952016
K-adaptability in two-stage mixed-integer robust optimization
A Subramanyam, CE Gounaris, W Wiesemann
Mathematical Programming Computation 12, 193-224, 2020
812020
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
812008
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
782016
The distributionally robust chance-constrained vehicle routing problem
S Ghosal, W Wiesemann
Operations Research 68 (3), 716-732, 2020
752020
Fast Bellman updates for robust MDPs
CP Ho, M Petrik, W Wiesemann
International Conference on Machine Learning, 1979-1988, 2018
682018
Robust growth-optimal portfolios
N Rujeerapaiboon, D Kuhn, W Wiesemann
Management Science 62 (7), 2090-2109, 2016
682016
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
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