2026 (2)
- Reza Belbasi, Aras Selvi, Wolfram Wiesemann, It’s All in the Mix: Wasserstein Classification and Regression with Mixed Features, 2026, Forthcoming in Manufacturing & Service Operations Management
- Simon Thomä, Maximilian Schiffer, Wolfram Wiesemann, A Note on Piecewise Affine Decision Rules for Robust, Stochastic, and Data-Driven Optimization, 2026, Forthcoming in Operations Research
2025 (2)
- Angelos Georghiou, Angelos Tsoukalas, Wolfram Wiesemann, On the Optimality of Affine Decision Rules in Robust and Distributionally Robust Optimization, 2025, Forthcoming in Management Science
- Aras Selvi, Huikang Liu, Wolfram Wiesemann, Differential Privacy via Distributionally Robust Optimization, 2025, Forthcoming in Operations Research
2024 (2)
- D. Kuhn, S. Shafiee, W. Wiesemann, Distributionally Robust Optimization, Forthcoming in Acta Numerica, 2024
- Krzysztof Postek, Ward Romeijnders, Wolfram Wiesemann, Technical Note: Multi-Stage Robust Mixed-Integer Programming, 2024, Forthcoming in Operations Research
2023 (5)
- Kilian Schindler, Napat Rujeerapaiboon, Daniel Kuhn, Wolfram Wiesemann, A Planner-Trader Decomposition for Multi-Market Hydro Scheduling, 2023, Forthcoming in Operations Research
- Jianzhe Zhen, Daniel Kuhn, Wolfram Wiesemann, A Unified Theory of Robust and Distributionally Robust Optimization via the Primal-Worst-Equals-Dual-Best Principle, 2023, Forthcoming in Operations Research
- Shubhechyya Ghosal, Chin Pang Ho, Wolfram Wiesemann, A Unifying Framework for the Capacitated Vehicle Routing Problem under Risk and Ambiguity, 2023, Forthcoming in Operations Research
- Zhi Chen, Daniel Kuhn, Wolfram Wiesemann, On Approximations of Data-Driven Chance Constrained Programs over Wasserstein Balls, 2023, Forthcoming in Operations Research Letters
- Aras Selvi, Reza Belbasi, Wolfram Wiesemann, It's All in the Mix: Wasserstein Machine Learning with Mixed Features, 2023, Available on arXiv
2022 (3)
- Aras Selvi, Mohammadreza Belbasi, Martin Haugh, Wolfram Wiesemann, Wasserstein Logistic Regression with Mixed Features, Advances in Neural Information Processing Systems, volume Forthcoming, 2022
- Clint Ho, Marek Petrik, Wolfram Wiesemann, Robust Phi-Divergence MDPs, Advances in Neural Information Processing Systems, volume Forthcoming, 2022
- Zhi Chen, Daniel Kuhn, Wolfram Wiesemann, Data-Driven Chance Constrained Programs over Wasserstein Balls, 2022, Forthcoming in Operations Research
2021 (5)
- Esma Koca, Tommaso Valletti, Wolfram Wiesemann, Designing Digital Rollovers: Managing Perceived Obsolescence through Release Times, Forthcoming in Production and Operations Management, 2021
- Aras Selvi, Dick den Hertog, Wolfram Wiesemann, A Reformulation-Linearization Technique for Optimization over Simplices, Forthcoming in Mathematical Programming A, 2021
- Chin Pang Ho, Marek Petrik, Wolfram Wiesemann, Partial Policy Iteration for L1-Robust Markov Decision Processes, 2021, Forthcoming in Journal of Machine Learning Research
- Josh D’Aeth, Shubhechyya Ghosal, Fiona Grimm, David Haw, Esma Koca, Krystal Lau, Huikang Liu, Stefano Moret, Dheeya Rizmie, Peter Smith, Giovanni Forchini, Marisa Miraldo, Wolfram Wiesemann, Optimal Hospital Care Scheduling During the SARS-CoV-2 Pandemic, 2021, Forthcoming in Management Science
- Josh C. D'Aeth, Shubhechyya Ghosal, Fiona Grimm, David Haw, Esma Koca, Krystal Lau, Stefano Moret, Dheeya Rizmie, Sarah R. Deeny, Pablo N. Perez-Guzman, Neil Ferguson, Katharina Hauck, Peter C. Smith, Wolfram Wiesemann, Giovanni Forchini, Marisa Miraldo, Optimal National Prioritization Policies for Hospital Care During the SARS-CoV-2 Pandemic, 2021, Forthcoming in Nature Computational Science
2020 (2)
- Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann, On Linear Optimization over Wasserstein Balls, 2020, Forthcoming in Mathematical Programming
- Zhengchao Wang, Heikki Perra, Wolfram Wiesemann, Randomized Assortment Optimization, 2020, Available on Optimization Online
2019 (6)
- Angelos Georghiou, Angelos Tsoukalas, Wolfram Wiesemann, A Primal-Dual Lifting Scheme for Two-Stage Robust Optimization, 2019, Forthcoming in Operations Research
- Napat Rujeerapaiboon, Kilian Schindler, Daniel Kuhn, Wolfram Wiesemann, Size Matters: Cardinality-Constrained Clustering and Outlier Detection via Conic Optimization, 2019, Forthcoming in SIAM Journal on Optimization
- Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann, Distributionally Optimistic Optimization Approach to Nonparametric Likelihood Approximation, Advances in Neural Information Processing Systems, volume 33, 2019
- Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann, Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization, Advances in Neural Information Processing Systems, volume 33, 2019
- Anirudh Subramanyam, Chrysanthos E. Gounaris, Wolfram Wiesemann, K-Adaptability in Two-Stage Mixed-Integer Robust Optimization, 2019, Forthcoming in Mathematical Programming Computation
- Shubhechyya Ghosal, Wolfram Wiesemann, The Distributionally Robust Chance Constrained Vehicle Routing Problem, 2019, Forthcoming in Operations Research
2018 (7)
- Erick Delage, Daniel Kuhn, Wolfram Wiesemann, ``Dice''-sion Making under Uncertainty: When Can a Random Decision Reduce Risk?, 2018, Forthcoming in Management Science
- Çağıl Koçyiğit, Garud Iyengar, Daniel Kuhn, Wolfram Wiesemann, Distributionally Robust Mechanism Design, 2018, Forthcoming in Management Science
- Angelos Georghiou, Angelos Tsoukalas, Wolfram Wiesemann, Robust Dual Dynamic Programming, 2018, Forthcoming in Operations Research
- Angelos Georghiou, Daniel Kuhn, Wolfram Wiesemann, The Decision Rule Approach to Optimisation under Uncertainty: Methodology and Applications in Operations Management, 2018, Forthcoming in Computational Management Science
- Napat Rujeerapaiboon, Daniel Kuhn, Wolfram Wiesemann, Chebyshev Inequalities for Products of Random Variables, 2018, Forthcoming in Mathematics of Operations Research
- Napat Rujeerapaiboon, Kilian Schindler, Daniel Kuhn, Wolfram Wiesemann, Scenario Reduction Revisited: Fundamental Limits and Guarantees, 2018, Forthcoming in Mathematical Programming B
- Chin Pang Ho, Marek Petrik, Wolfram Wiesemann, Fast Bellman Updates for Robust MDPs, Proceedings of the 35th International Conference on Machine Learning (ICML), 2018
2017 (1)
- Grani A. Hanasusanto, Vladimir Roitch, Daniel Kuhn, Wolfram Wiesemann, Ambiguous Joint Chance Constraints Under Mean and Dispersion Information, Operations Research, volume 65, pp.751-767, 2017
2016 (4)
- Grani A. Hanasusanto, Daniel Kuhn, Wolfram Wiesemann, A comment on ``computational complexity of stochastic programming problems'', Mathematical Programming, volume 159, pp.557–569, 2016
- Chrysanthos E. Gounaris, Panagiotis P. Repoussis, Christos D. Tarantilis, Wolfram Wiesemann, Christodoulos A. Floudas, An Adaptive Memory Programming Framework for the Robust Capacitated Vehicle Routing Problem, Transportation Science, volume 50, pp.1239-1260, 2016
- Napat Rujeerapaiboon, Daniel Kuhn, Wolfram Wiesemann, Robust Growth-Optimal Portfolios, Management Science, volume 62, pp.2090-2109, 2016
- Grani A. Hanasusanto, Daniel Kuhn, Wolfram Wiesemann, K-Adaptability in Two-Stage Distributionally Robust Binary Programming, Operations Research Letters, volume 44, pp.6 - 11, 2016
2015 (5)
- Angelos Georghiou, Wolfram Wiesemann, Daniel Kuhn, Generalized decision rule approximations for stochastic programming via liftings, Mathematical Programming, volume 152, pp.301–338, 2015
- Grani A. Hanasusanto, Vladimir Roitch, Daniel Kuhn, Wolfram Wiesemann, A distributionally robust perspective on uncertainty quantification and chance constrained programming, Mathematical Programming, volume 151, pp.35–62, 2015
- Eli Gutin, Daniel Kuhn, Wolfram Wiesemann, Interdiction Games on Markovian PERT Networks, Management Science, volume 61, pp.999-1017, 2015
- Grani A. Hanasusanto, Daniel Kuhn, Wolfram Wiesemann, K-Adaptability in Two-Stage Robust Binary Programming, Operations Research, volume 63, 2015
- Wolfram Wiesemann, Daniel Kuhn, Handbook on Project Management and Scheduling, 2015
2014 (1)
- Wolfram Wiesemann, Daniel Kuhn, Melvyn Sim, Distributionally Robust Convex Optimization, Operations Research, volume 62, pp.1358-1376, 2014
2013 (3)
- Wolfram Wiesemann, Daniel Kuhn, Berç Rustem, Robust Markov Decision Processes, Mathematics of Operations Research, volume 38, pp.153-183, 2013
- Chrysanthos E. Gounaris, Wolfram Wiesemann, Christodoulos A. Floudas, The Robust Capacitated Vehicle Routing Problem Under Demand Uncertainty, Operations Research, volume 61, pp.677-693, 2013
- Wolfram Wiesemann, Angelos Tsoukalas, Polyxeni-Margarita Kleniati, Berç Rustem, Pessimistic Bilevel Optimization, SIAM Journal on Optimization, volume 23, pp.353-380, 2013
2012 (5)
- Wolfram Wiesemann, Daniel Kuhn, Berc Rustem, Robust Resource Allocations in Temporal Networks, Mathematical Programming, volume 135, pp.437–471, 2012
- Wolfram Wiesemann, Daniel Kuhn, Berc Rustem, Multi-Resource Allocation in Stochastic Project Scheduling, Annals of Operations Research, volume 193, pp.193–220, 2012
- Raquel J. Fonseca, Wolfram Wiesemann, Berc Rustem, Robust International Portfolio Management, Computational Management Science, volume 9, pp.31–62, 2012
- Simon A. Spacey, Wolfram Wiesemann, Daniel Kuhn, Wayne Luk, Robust Software Partitioning with Multiple Instantiation, INFORMS Journal on Computing, volume 24, pp.500-515, 2012
- Wolfram Wiesemann, Optimization of Temporal Networks under Uncertainty, 2012
2011 (2)
- Daniel Kuhn, Wolfram Wiesemann, Angelos Georghiou, Primal and Dual Linear Decision Rules in Stochastic and Robust Optimization, Mathematical Programming, volume 130, pp.177–209, 2011
- Raquel J. Fonseca, Steve Zymler, Wolfram Wiesemann, Berc Rustem, Robust Optimization of Currency Portfolios, Journal of Computational Finance, volume 15, pp.3–30, 2011
2010 (1)
- Wolfram Wiesemann, Daniel Kuhn, Berç Rustem, Maximizing the Net Present Value of a Project under Uncertainty, European Journal of Operational Research, volume 202, pp.356 - 367, 2010
