Using Reputation Systems to Cope with Trust Problems in Virtual Organizations. - Marco Voss; Wolfram Wiesemann (WOSIS, 2005)

Iterated Ants: An Experimental Study for the Quadratic Assignment Problem. - Wolfram Wiesemann; Thomas Stützle (ANTS Workshop, 2006)

A Stochastic Programming Approach for QoS-Aware Service Composition. - Wolfram Wiesemann; Ronald Hochreiter; Daniel Kuhn 001 (CCGRID, 2008)

Maximizing the net present value of a project under uncertainty. - Wolfram Wiesemann; Daniel Kuhn 001; Berç Rustem (Eur. J. Oper. Res., 2010)

Optimisation of temporal networks under uncertainty. - Wolfram Wiesemann (2010)

SQPR: Stream query planning with reuse. - Evangelia Kalyvianaki; Wolfram Wiesemann; Quang Hieu Vu; Daniel Kuhn 001; Peter R. Pietzuch (ICDE, 2011)

Primal and dual linear decision rules in stochastic and robust optimization. - Daniel Kuhn 001; Wolfram Wiesemann; Angelos Georghiou (Math. Program., 2011)

Multi-resource allocation in stochastic project scheduling. - Wolfram Wiesemann; Daniel Kuhn 001; Berç Rustem (Ann. Oper. Res., 2012)

Robust international portfolio management. - Raquel J. Fonseca; Wolfram Wiesemann; Berç Rustem (Comput. Manag. Sci., 2012)

Editorial. - Panos Parpas; Wolfram Wiesemann (Comput. Manag. Sci., 2012)

Robust Software Partitioning with Multiple Instantiation. - Simon A. Spacey; Wolfram Wiesemann; Daniel Kuhn 001; Wayne Luk (INFORMS J. Comput., 2012)

Robust resource allocations in temporal networks. - Wolfram Wiesemann; Daniel Kuhn 001; Berç Rustem (Math. Program., 2012)

The Robust Capacitated Vehicle Routing Problem Under Demand Uncertainty. - Chrysanthos E. Gounaris; Wolfram Wiesemann; Christodoulos A. Floudas (Oper. Res., 2013)

Robust Markov Decision Processes. - Wolfram Wiesemann; Daniel Kuhn 001; Berç Rustem (Math. Oper. Res., 2013)

Pessimistic Bilevel Optimization. - Wolfram Wiesemann; Angelos Tsoukalas; Polyxeni-Margarita Kleniati; Berç Rustem (SIAM J. Optim., 2013)

Editorial to computational techniques in management science. - Panos Parpas; Wolfram Wiesemann (Comput. Manag. Sci., 2014)

Distributionally Robust Convex Optimization. - Wolfram Wiesemann; Daniel Kuhn 001; Melvyn Sim (Oper. Res., 2014)

On the minimum latency transmission scheduling in wireless networks with power control under SINR constraints. - Themistoklis Charalambous; Evelina Klerides; Wolfram Wiesemann; Angelos Vassiliou; S. Hadjitheophanous; K. M. Deliparaschos (Trans. Emerg. Telecommun. Technol., 2015)

K-Adaptability in Two-Stage Robust Binary Programming. - Grani Adiwena Hanasusanto; Daniel Kuhn 001; Wolfram Wiesemann (Oper. Res., 2015)

Interdiction Games on Markovian PERT Networks. - Eli Gutin; Daniel Kuhn 001; Wolfram Wiesemann (Manag. Sci., 2015)

Generalized decision rule approximations for stochastic programming via liftings. - Angelos Georghiou; Wolfram Wiesemann; Daniel Kuhn 001 (Math. Program., 2015)

A distributionally robust perspective on uncertainty quantification and chance constrained programming. - Grani Adiwena Hanasusanto; Vladimir Roitch; Daniel Kuhn 001; Wolfram Wiesemann (Math. Program., 2015)

Robust Growth-Optimal Portfolios. - Napat Rujeerapaiboon; Daniel Kuhn 001; Wolfram Wiesemann (Manag. Sci., 2016)

A comment on "computational complexity of stochastic programming problems". - Grani Adiwena Hanasusanto; Daniel Kuhn 001; Wolfram Wiesemann (Math. Program., 2016)

K-adaptability in two-stage distributionally robust binary programming. - Grani Adiwena Hanasusanto; Daniel Kuhn 001; Wolfram Wiesemann (Oper. Res. Lett., 2016)

An Adaptive Memory Programming Framework for the Robust Capacitated Vehicle Routing Problem. - Chrysanthos E. Gounaris; Panagiotis P. Repoussis; Christos D. Tarantilis; Wolfram Wiesemann; Christodoulos A. Floudas (Transp. Sci., 2016)

Special issue on the 12th international conference on computational management science. - Milos Kopa; Wolfram Wiesemann (Comput. Manag. Sci., 2017)

Ambiguous Joint Chance Constraints Under Mean and Dispersion Information. - Grani Adiwena Hanasusanto; Vladimir Roitch; Daniel Kuhn 001; Wolfram Wiesemann (Oper. Res., 2017)

Guest Editorial. - Panos Parpas; Berç Rustem; Wolfram Wiesemann (Optim. Methods Softw., 2017)

Fast Bellman Updates for Robust MDPs. - Chin Pang Ho; Marek Petrik; Wolfram Wiesemann (ICML, 2018)

Chebyshev Inequalities for Products of Random Variables. - Napat Rujeerapaiboon; Daniel Kuhn 001; Wolfram Wiesemann (Math. Oper. Res., 2018)

Special issue: Optimization models and algorithms for data science. - Panos Parpas; Daniel Ralph; Wolfram Wiesemann (Math. Program., 2018)

Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization. - Viet Anh Nguyen; Soroosh Shafieezadeh-Abadeh; Man-Chung Yue; Daniel Kuhn 001; Wolfram Wiesemann (NeurIPS, 2019)

Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation. - Viet Anh Nguyen; Soroosh Shafieezadeh-Abadeh; Man-Chung Yue; Daniel Kuhn 001; Wolfram Wiesemann (NeurIPS, 2019)

The decision rule approach to optimization under uncertainty: methodology and applications. - Angelos Georghiou; Daniel Kuhn 001; Wolfram Wiesemann (Comput. Manag. Sci., 2019)

Robust Dual Dynamic Programming. - Angelos Georghiou; Angelos Tsoukalas; Wolfram Wiesemann (Oper. Res., 2019)

"Dice"-sion-Making Under Uncertainty: When Can a Random Decision Reduce Risk? - Erick Delage; Daniel Kuhn 001; Wolfram Wiesemann (Manag. Sci., 2019)

Size Matters: Cardinality-Constrained Clustering and Outlier Detection via Conic Optimization. - Napat Rujeerapaiboon; Kilian Schindler; Daniel Kuhn 001; Wolfram Wiesemann (SIAM J. Optim., 2019)

A Primal-Dual Lifting Scheme for Two-Stage Robust Optimization. - Angelos Georghiou; Angelos Tsoukalas; Wolfram Wiesemann (Oper. Res., 2020)

The Distributionally Robust Chance-Constrained Vehicle Routing Problem. - Shubhechyya Ghosal; Wolfram Wiesemann (Oper. Res., 2020)

Distributionally Robust Mechanism Design. - Çagil Koçyigit; Garud Iyengar; Daniel Kuhn 001; Wolfram Wiesemann (Manag. Sci., 2020)

K-adaptability in two-stage mixed-integer robust optimization. - Anirudh Subramanyam; Chrysanthos E. Gounaris; Wolfram Wiesemann (Math. Program. Comput., 2020)

Partial Policy Iteration for L1-Robust Markov Decision Processes. - Chin Pang Ho; Marek Petrik; Wolfram Wiesemann (J. Mach. Learn. Res., 2021)

Optimal national prioritization policies for hospital care during the SARS-CoV-2 pandemic. - Josh C. D'aeth; Shubhechyya Ghosal; Fiona Grimm; David J. Haw; Esma Koca; Krystal Lau; Stefano Moret; Dheeya Rizmie; Sarah R. Deeny; Pablo N. Perez-Guzman; Neil M. Ferguson; Katharina D. Hauck; et al. (Nat. Comput. Sci., 2021)

Robust $ phi$-Divergence MDPs. - Chin Pang Ho; Marek Petrik; Wolfram Wiesemann (NeurIPS, 2022)

Wasserstein Logistic Regression with Mixed Features. - Aras Selvi; Mohammad Reza Belbasi; Martin Haugh; Wolfram Wiesemann (NeurIPS, 2022)

Scenario reduction revisited: fundamental limits and guarantees. - Napat Rujeerapaiboon; Kilian Schindler; Daniel Kuhn 001; Wolfram Wiesemann (Math. Program., 2022)

On linear optimization over Wasserstein balls. - Man-Chung Yue; Daniel Kuhn 001; Wolfram Wiesemann (Math. Program., 2022)

Differential Privacy via Distributionally Robust Optimization. - Aras Selvi; Huikang Liu; Wolfram Wiesemann (CoRR, 2023)

Streamlining Energy Transition Scenarios to Key Policy Decisions. - Florian Joseph Baader; Stefano Moret; Wolfram Wiesemann; Iain Staffell; André Bardow (CoRR, 2023)

It's All in the Mix: Wasserstein Machine Learning with Mixed Features. - Mohammad Reza Belbasi; Aras Selvi; Wolfram Wiesemann (CoRR, 2023)

A reformulation-linearization technique for optimization over simplices. - Aras Selvi; Dick den Hertog; Wolfram Wiesemann (Math. Program., 2023)

On approximations of data-driven chance constrained programs over Wasserstein balls. - Zhi Chen 016; Daniel Kuhn 001; Wolfram Wiesemann (Oper. Res. Lett., 2023)

Optimal Hospital Care Scheduling During the SARS-CoV-2 Pandemic. - Josh C. D'aeth; Shubhechyya Ghosal; Fiona Grimm; David J. Haw; Esma Koca; Krystal Lau; Huikang Liu; Stefano Moret; Dheeya Rizmie; Peter C. Smith; Giovanni Forchini; Marisa Miraldo; et al. (Manag. Sci., 2023)

Technical Note - Data-Driven Chance Constrained Programs over Wasserstein Balls. - Zhi Chen 016; Daniel Kuhn 001; Wolfram Wiesemann (Oper. Res., 2024)

A Unifying Framework for the Capacitated Vehicle Routing Problem Under Risk and Ambiguity. - Shubhechyya Ghosal; Chin Pang Ho; Wolfram Wiesemann (Oper. Res., 2024)

A Planner-Trader Decomposition for Multimarket Hydro Scheduling. - Kilian Schindler; Napat Rujeerapaiboon; Daniel Kuhn 001; Wolfram Wiesemann (Oper. Res., 2024)

Randomized Assortment Optimization. - Zhengchao Wang; Heikki Peura; Wolfram Wiesemann (Oper. Res., 2024)

Distributionally robust optimization. - Daniel Kuhn 001; Soroosh Shafiee; Wolfram Wiesemann (Acta Numer., 2025)

A Unified Theory of Robust and Distributionally Robust Optimization via the Primal-Worst-Equals-Dual-Best Principle. - Jianzhe Zhen; Daniel Kuhn 001; Wolfram Wiesemann (Oper. Res., 2025)