Wolfram Wiesemann

68 papers A* 6B 1Journal 58Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Differential Privacy via Distributionally Robust Optimization. Oper. Res. Aras Selvi, Huikang Liu, Wolfram Wiesemann
2026	J	`jnl`	Efficient Algorithms for Robust Markov Decision Processes with CoRR Chin Pang Ho, Marek Petrik, Wolfram Wiesemann
2026	J	`jnl`	On the Optimality of Affine Decision Rules in Distributionally Robust Optimization. Manag. Sci. Angelos Georghiou, Angelos Tsoukalas, Wolfram Wiesemann
2025	J	`jnl`	A Unified Theory of Robust and Distributionally Robust Optimization via the Primal-Worst-Equals-Dual-Best Principle. Oper. Res. Jianzhe Zhen, Daniel Kuhn, Wolfram Wiesemann
2025	J	`jnl`	Distributionally robust optimization. Acta Numer. Daniel Kuhn, Soroosh Shafiee, Wolfram Wiesemann
2025	J	`jnl`	Technical Note - Multistage Robust Mixed-Integer Programming. Oper. Res. Krzysztof Postek, Ward Romeijnders, Wolfram Wiesemann
2024	J	`jnl`	A Planner-Trader Decomposition for Multimarket Hydro Scheduling. Oper. Res. Kilian Schindler, Napat Rujeerapaiboon, Daniel Kuhn, Wolfram Wiesemann
2024	J	`jnl`	A Unifying Framework for the Capacitated Vehicle Routing Problem Under Risk and Ambiguity. Oper. Res. Shubhechyya Ghosal, Chin Pang Ho, Wolfram Wiesemann
2024	J	`jnl`	Distributionally Robust Optimization. CoRR Daniel Kuhn, Soroosh Shafiee, Wolfram Wiesemann
2024	J	`jnl`	Randomized Assortment Optimization. Oper. Res. Zhengchao Wang, Heikki Peura, Wolfram Wiesemann
2024	J	`jnl`	Technical Note - Data-Driven Chance Constrained Programs over Wasserstein Balls. Oper. Res. Zhi Chen, Daniel Kuhn, Wolfram Wiesemann
2023	J	`jnl`	A reformulation-linearization technique for optimization over simplices. Math. Program. Aras Selvi, Dick den Hertog, Wolfram Wiesemann
2023	J	`jnl`	Differential Privacy via Distributionally Robust Optimization. CoRR Aras Selvi, Huikang Liu, Wolfram Wiesemann
2023	J	`jnl`	It's All in the Mix: Wasserstein Machine Learning with Mixed Features. CoRR Mohammad Reza Belbasi, Aras Selvi, Wolfram Wiesemann
2023	J	`jnl`	On approximations of data-driven chance constrained programs over Wasserstein balls. Oper. Res. Lett. Zhi Chen, Daniel Kuhn, Wolfram Wiesemann
2023	J	`jnl`	Optimal Hospital Care Scheduling During the SARS-CoV-2 Pandemic. Manag. Sci. 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, Wolfram Wiesemann
2023	J	`jnl`	Streamlining Energy Transition Scenarios to Key Policy Decisions. CoRR Florian Joseph Baader, Stefano Moret, Wolfram Wiesemann, Iain Staffell, André Bardow
2022	J	`jnl`	On linear optimization over Wasserstein balls. Math. Program. Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
2022	A*	`conf`	Robust $\phi$-Divergence MDPs. NeurIPS Chin Pang Ho, Marek Petrik, Wolfram Wiesemann
2022	J	`jnl`	Robust Phi-Divergence MDPs. CoRR Chin Pang Ho, Marek Petrik, Wolfram Wiesemann
2022	J	`jnl`	Scenario reduction revisited: fundamental limits and guarantees. Math. Program. Napat Rujeerapaiboon, Kilian Schindler, Daniel Kuhn, Wolfram Wiesemann
2022	A*	`conf`	Wasserstein Logistic Regression with Mixed Features. NeurIPS Aras Selvi, Mohammad Reza Belbasi, Martin Haugh, Wolfram Wiesemann
2021	J	`jnl`	Optimal national prioritization policies for hospital care during the SARS-CoV-2 pandemic. Nat. Comput. Sci. 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, Peter C. Smith, Giovanni Forchini, Wolfram Wiesemann, Marisa Miraldo
2021	J	`jnl`	Partial Policy Iteration for L1-Robust Markov Decision Processes. J. Mach. Learn. Res. Chin Pang Ho, Marek Petrik, Wolfram Wiesemann
2020	J	`jnl`	A Primal-Dual Lifting Scheme for Two-Stage Robust Optimization. Oper. Res. Angelos Georghiou, Angelos Tsoukalas, Wolfram Wiesemann
2020	J	`jnl`	Distributionally Robust Mechanism Design. Manag. Sci. Çagil Koçyigit, Garud Iyengar, Daniel Kuhn, Wolfram Wiesemann
2020	J	`jnl`	On Linear Optimization over Wasserstein Balls. CoRR Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
2020	J	`jnl`	Partial Policy Iteration for L1-Robust Markov Decision Processes. CoRR Chin Pang Ho, Marek Petrik, Wolfram Wiesemann
2020	J	`jnl`	The Distributionally Robust Chance-Constrained Vehicle Routing Problem. Oper. Res. Shubhechyya Ghosal, Wolfram Wiesemann
2019	J	`jnl`	"Dice"-sion-Making Under Uncertainty: When Can a Random Decision Reduce Risk? Manag. Sci. Erick Delage, Daniel Kuhn, Wolfram Wiesemann
2019	A*	`conf`	Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization. NeurIPS Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
2019	J	`jnl`	Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization. CoRR Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
2019	A*	`conf`	Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation. NeurIPS Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
2019	J	`jnl`	Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation. CoRR Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
2019	J	`jnl`	Robust Dual Dynamic Programming. Oper. Res. Angelos Georghiou, Angelos Tsoukalas, Wolfram Wiesemann
2019	J	`jnl`	Size Matters: Cardinality-Constrained Clustering and Outlier Detection via Conic Optimization. SIAM J. Optim. Napat Rujeerapaiboon, Kilian Schindler, Daniel Kuhn, Wolfram Wiesemann
2019	J	`jnl`	The decision rule approach to optimization under uncertainty: methodology and applications. Comput. Manag. Sci. Angelos Georghiou, Daniel Kuhn, Wolfram Wiesemann
2018	J	`jnl`	Chebyshev Inequalities for Products of Random Variables. Math. Oper. Res. Napat Rujeerapaiboon, Daniel Kuhn, Wolfram Wiesemann
2018	A*	`conf`	Fast Bellman Updates for Robust MDPs. ICML Chin Pang Ho, Marek Petrik, Wolfram Wiesemann
2018	J	`jnl`	Special issue: Optimization models and algorithms for data science. Math. Program. Panos Parpas, Daniel Ralph, Wolfram Wiesemann
2017	J	`jnl`	Ambiguous Joint Chance Constraints Under Mean and Dispersion Information. Oper. Res. Grani Adiwena Hanasusanto, Vladimir Roitch, Daniel Kuhn, Wolfram Wiesemann
2017	J	`jnl`	Guest Editorial. Optim. Methods Softw. Panos Parpas, Berç Rustem, Wolfram Wiesemann
2017	J	`jnl`	Special issue on the 12th international conference on computational management science. Comput. Manag. Sci. Milos Kopa, Wolfram Wiesemann
2016	J	`jnl`	A comment on "computational complexity of stochastic programming problems". Math. Program. Grani Adiwena Hanasusanto, Daniel Kuhn, Wolfram Wiesemann
2016	J	`jnl`	An Adaptive Memory Programming Framework for the Robust Capacitated Vehicle Routing Problem. Transp. Sci. Chrysanthos E. Gounaris, Panagiotis P. Repoussis, Christos D. Tarantilis, Wolfram Wiesemann, Christodoulos A. Floudas
2016	J	`jnl`	K-adaptability in two-stage distributionally robust binary programming. Oper. Res. Lett. Grani Adiwena Hanasusanto, Daniel Kuhn, Wolfram Wiesemann
2016	J	`jnl`	Robust Growth-Optimal Portfolios. Manag. Sci. Napat Rujeerapaiboon, Daniel Kuhn, Wolfram Wiesemann
2015	J	`jnl`	A distributionally robust perspective on uncertainty quantification and chance constrained programming. Math. Program. Grani Adiwena Hanasusanto, Vladimir Roitch, Daniel Kuhn, Wolfram Wiesemann
2015	J	`jnl`	Generalized decision rule approximations for stochastic programming via liftings. Math. Program. Angelos Georghiou, Wolfram Wiesemann, Daniel Kuhn
2015	J	`jnl`	Interdiction Games on Markovian PERT Networks. Manag. Sci. Eli Gutin, Daniel Kuhn, Wolfram Wiesemann
2015	J	`jnl`	On the minimum latency transmission scheduling in wireless networks with power control under SINR constraints. Trans. Emerg. Telecommun. Technol. Themistoklis Charalambous, Evelina Klerides, Wolfram Wiesemann, Angelos Vassiliou, S. Hadjitheophanous, K. M. Deliparaschos
2014	J	`jnl`	Distributionally Robust Convex Optimization. Oper. Res. Wolfram Wiesemann, Daniel Kuhn, Melvyn Sim
2014	J	`jnl`	Editorial to computational techniques in management science. Comput. Manag. Sci. Panos Parpas, Wolfram Wiesemann
2013	J	`jnl`	Pessimistic Bilevel Optimization. SIAM J. Optim. Wolfram Wiesemann, Angelos Tsoukalas, Polyxeni-Margarita Kleniati, Berç Rustem
2013	J	`jnl`	Robust Markov Decision Processes. Math. Oper. Res. Wolfram Wiesemann, Daniel Kuhn, Berç Rustem
2013	J	`jnl`	The Robust Capacitated Vehicle Routing Problem Under Demand Uncertainty. Oper. Res. Chrysanthos E. Gounaris, Wolfram Wiesemann, Christodoulos A. Floudas
2012	J	`jnl`	Editorial. Comput. Manag. Sci. Panos Parpas, Wolfram Wiesemann
2012	J	`jnl`	Multi-resource allocation in stochastic project scheduling. Ann. Oper. Res. Wolfram Wiesemann, Daniel Kuhn, Berç Rustem
2012	J	`jnl`	Robust Software Partitioning with Multiple Instantiation. INFORMS J. Comput. Simon A. Spacey, Wolfram Wiesemann, Daniel Kuhn, Wayne Luk
2012	J	`jnl`	Robust international portfolio management. Comput. Manag. Sci. Raquel J. Fonseca, Wolfram Wiesemann, Berç Rustem
2012	J	`jnl`	Robust resource allocations in temporal networks. Math. Program. Wolfram Wiesemann, Daniel Kuhn, Berç Rustem
2011	J	`jnl`	Primal and dual linear decision rules in stochastic and robust optimization. Math. Program. Daniel Kuhn, Wolfram Wiesemann, Angelos Georghiou
2011	A*	`conf`	SQPR: Stream query planning with reuse. ICDE Evangelia Kalyvianaki, Wolfram Wiesemann, Quang Hieu Vu, Daniel Kuhn, Peter R. Pietzuch
2010	J	`jnl`	Maximizing the net present value of a project under uncertainty. Eur. J. Oper. Res. Wolfram Wiesemann, Daniel Kuhn, Berç Rustem
2010	—	`—`	Optimisation of temporal networks under uncertainty. Wolfram Wiesemann
2008	B	`conf`	A Stochastic Programming Approach for QoS-Aware Service Composition. CCGRID Wolfram Wiesemann, Ronald Hochreiter, Daniel Kuhn
2006	—	`conf`	Iterated Ants: An Experimental Study for the Quadratic Assignment Problem. ANTS Workshop Wolfram Wiesemann, Thomas Stützle
2005	—	`conf`	Using Reputation Systems to Cope with Trust Problems in Virtual Organizations. WOSIS Marco Voss, Wolfram Wiesemann