Suivre
Wolfram Wiesemann
Wolfram Wiesemann
Professor of Analytics and Operations, Imperial College Business School
Adresse e-mail validée de imperial.ac.uk - Page d'accueil
Titre
Citée par
Citée par
Année
Distributionally robust convex optimization
W Wiesemann, D Kuhn, M Sim
Operations research 62 (6), 1358-1376, 2014
10672014
Robust Markov decision processes
W Wiesemann, D Kuhn, B Rustem
Mathematics of Operations Research 38 (1), 153-183, 2013
5022013
Primal and dual linear decision rules in stochastic and robust optimization
D Kuhn, W Wiesemann, A Georghiou
Mathematical Programming 130, 177-209, 2011
3402011
The robust capacitated vehicle routing problem under demand uncertainty
CE Gounaris, W Wiesemann, CA Floudas
Operations Research 61 (3), 677-693, 2013
2662013
K-Adaptability in Two-Stage Robust Binary Programming
GA Hanasusanto, D Kuhn, W Wiesemann
Operations Research 63 (4), 877-891, 2015
2102015
Data-driven chance constrained programs over Wasserstein balls
Z Chen, D Kuhn, W Wiesemann
Operations Research 72 (1), 410-424, 2024
2042024
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
1972015
Generalized decision rule approximations for stochastic programming via liftings
A Georghiou, W Wiesemann, D Kuhn
Mathematical Programming 152, 301-338, 2015
1962015
Ambiguous joint chance constraints under mean and dispersion information
GA Hanasusanto, V Roitch, D Kuhn, W Wiesemann
Operations Research 65 (3), 751-767, 2017
1652017
Pessimistic bilevel optimization
W Wiesemann, A Tsoukalas, PM Kleniati, B Rustem
SIAM Journal on Optimization 23 (1), 353-380, 2013
1422013
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
1212010
Robust dual dynamic programming
A Georghiou, A Tsoukalas, W Wiesemann
Operations Research 67 (3), 813-830, 2019
1062019
A comment on “computational complexity of stochastic programming problems”
GA Hanasusanto, D Kuhn, W Wiesemann
Mathematical Programming 159, 557-569, 2016
982016
K-adaptability in two-stage mixed-integer robust optimization
A Subramanyam, CE Gounaris, W Wiesemann
Mathematical Programming Computation 12, 193-224, 2020
882020
The distributionally robust chance-constrained vehicle routing problem
S Ghosal, W Wiesemann
Operations Research 68 (3), 716-732, 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
792016
Fast Bellman updates for robust MDPs
CP Ho, M Petrik, W Wiesemann
International Conference on Machine Learning, 1979-1988, 2018
732018
Robust growth-optimal portfolios
N Rujeerapaiboon, D Kuhn, W Wiesemann
Management Science 62 (7), 2090-2109, 2016
712016
Scenario reduction revisited: Fundamental limits and guarantees
N Rujeerapaiboon, K Schindler, D Kuhn, W Wiesemann
Mathematical Programming 191 (1), 207-242, 2022
662022
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20