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Wolfram Wiesemann
Wolfram Wiesemann
Professor of Analytics and Operations, Imperial College Business School
Verificeret mail på imperial.ac.uk - Startside
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År
Distributionally robust convex optimization
W Wiesemann, D Kuhn, M Sim
Operations research 62 (6), 1358-1376, 2014
9582014
Robust Markov decision processes
W Wiesemann, D Kuhn, B Rustem
Mathematics of Operations Research 38 (1), 153-183, 2013
4152013
Primal and dual linear decision rules in stochastic and robust optimization
D Kuhn, W Wiesemann, A Georghiou
Mathematical Programming 130, 177-209, 2011
3302011
The robust capacitated vehicle routing problem under demand uncertainty
CE Gounaris, W Wiesemann, CA Floudas
Operations Research 61 (3), 677-693, 2013
2542013
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
1902015
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
1812015
Data-driven chance constrained programs over Wasserstein balls
Z Chen, D Kuhn, W Wiesemann
Operations Research, 2022
1692022
Ambiguous joint chance constraints under mean and dispersion information
GA Hanasusanto, V Roitch, D Kuhn, W Wiesemann
Operations Research 65 (3), 751-767, 2017
1522017
Pessimistic bilevel optimization
W Wiesemann, A Tsoukalas, PM Kleniati, B Rustem
SIAM Journal on Optimization 23 (1), 353-380, 2013
1362013
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
1122010
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
912019
K-adaptability in two-stage mixed-integer robust optimization
A Subramanyam, CE Gounaris, W Wiesemann
Mathematical Programming Computation 12, 193-224, 2020
822020
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
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
742016
The distributionally robust chance-constrained vehicle routing problem
S Ghosal, W Wiesemann
Operations Research 68 (3), 716-732, 2020
682020
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
662011
Robust growth-optimal portfolios
N Rujeerapaiboon, D Kuhn, W Wiesemann
Management Science 62 (7), 2090-2109, 2016
642016
Fast Bellman updates for robust MDPs
CP Ho, M Petrik, W Wiesemann
International Conference on Machine Learning, 1979-1988, 2018
602018
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Artikler 1–20