Daniel Kuhn - RankMe

114 papers A* 10A 1B 1Journal 91Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Policy Gradient Algorithms for Robust MDP\(\text{s}\) with Nonrectangular Uncertainty Sets. SIAM J. Optim. Mengmeng Li, Daniel Kuhn, Tobias Sutter
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 Optimal Allocation with Costly Verification. Oper. Res. Halil Ibrahim Bayrak, Çagil Koçyigit, Daniel Kuhn, Mustafa Çelebi Pinar
2025	J	`jnl`	Distributionally robust optimization. Acta Numer. Daniel Kuhn, Soroosh Shafiee, Wolfram Wiesemann
2025	—	`conf`	Exploiting Multistage Optimization Structure in Proximal Solvers. CDC Roland Schwan, Daniel Kuhn, Colin N. Jones
2025	J	`jnl`	Exploiting Multistage Optimization Structure in Proximal Solvers. CoRR Roland Schwan, Daniel Kuhn, Colin N. Jones
2025	A	`conf`	Global Group Fairness in Federated Learning via Function Tracking. AISTATS Yves Rychener, Daniel Kuhn, Yifan Hu
2025	J	`jnl`	Global Group Fairness in Federated Learning via Function Tracking. CoRR Yves Rychener, Daniel Kuhn, Yifan Hu
2025	J	`jnl`	Optimality of Linear Policies in Distributionally Robust Linear Quadratic Control. CoRR Bahar Taskesen, Dan A. Iancu, Çagil Koçyigit, Daniel Kuhn
2024	J	`jnl`	A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set. CoRR Man-Chung Yue, Yves Rychener, Daniel Kuhn, Viet Anh Nguyen
2024	J	`jnl`	A Pareto Dominance Principle for Data-Driven Optimization. Oper. Res. Tobias Sutter, Bart P. G. Van Parys, Daniel Kuhn
2024	J	`jnl`	A Planner-Trader Decomposition for Multimarket Hydro Scheduling. Oper. Res. Kilian Schindler, Napat Rujeerapaiboon, Daniel Kuhn, Wolfram Wiesemann
2024	—	`conf`	A large deviations perspective on policy gradient algorithms. L4DC Wouter Jongeneel, Daniel Kuhn, Mengmeng Li
2024	J	`jnl`	Distributionally Robust Optimization. CoRR Daniel Kuhn, Soroosh Shafiee, Wolfram Wiesemann
2024	J	`jnl`	Frequency regulation with storage: On losses and profits. Eur. J. Oper. Res. Dirk Lauinger, François Vuille, Daniel Kuhn
2024	J	`jnl`	Optimism in the Face of Ambiguity Principle for Multi-Armed Bandits. CoRR Mengmeng Li, Daniel Kuhn, Bahar Taskesen
2024	J	`jnl`	Regret Minimization and Separation in Multi-Bidder, Multi-Item Auctions. INFORMS J. Comput. Çagil Koçyigit, Daniel Kuhn, Napat Rujeerapaiboon
2024	J	`jnl`	Reliable Frequency Regulation Through Vehicle-to-Grid: Encoding Legislation with Robust Constraints. Manuf. Serv. Oper. Manag. Dirk Lauinger, François Vuille, Daniel Kuhn
2024	J	`jnl`	Small Errors in Random Zeroth-Order Optimization Are Imaginary. SIAM J. Optim. Wouter Jongeneel, Man-Chung Yue, Daniel Kuhn
2024	J	`jnl`	Technical Note - Data-Driven Chance Constrained Programs over Wasserstein Balls. Oper. Res. Zhi Chen, Daniel Kuhn, Wolfram Wiesemann
2023	J	`jnl`	Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization. Math. Oper. Res. Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani
2023	A*	`conf`	Contextual Stochastic Bilevel Optimization. NeurIPS Yifan Hu, Jie Wang, Yao Xie, Andreas Krause, Daniel Kuhn
2023	J	`jnl`	Contextual Stochastic Bilevel Optimization. CoRR Yifan Hu, Jie Wang, Yao Xie, Andreas Krause, Daniel Kuhn
2023	J	`jnl`	Discrete Optimal Transport with Independent Marginals is #P-Hard. SIAM J. Optim. Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Karthik Natarajan
2023	A*	`conf`	Distributionally Robust Linear Quadratic Control. NeurIPS Bahar Taskesen, Dan A. Iancu, Çagil Koçyigit, Daniel Kuhn
2023	J	`jnl`	Distributionally Robust Linear Quadratic Control. CoRR Bahar Taskesen, Dan A. Iancu, Çagil Koçyigit, Daniel Kuhn
2023	J	`jnl`	Efficient Learning of a Linear Dynamical System With Stability Guarantees. IEEE Trans. Autom. Control. Wouter Jongeneel, Tobias Sutter, Daniel Kuhn
2023	A*	`conf`	End-to-End Learning for Stochastic Optimization: A Bayesian Perspective. ICML Yves Rychener, Daniel Kuhn, Tobias Sutter
2023	J	`jnl`	End-to-End Learning for Stochastic Optimization: A Bayesian Perspective. CoRR Yves Rychener, Daniel Kuhn, Tobias Sutter
2023	J	`jnl`	Frequency Regulation with Storage: On Losses and Profits. CoRR Dirk Lauinger, François Vuille, Daniel Kuhn
2023	J	`jnl`	New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization. CoRR Soroosh Shafieezadeh-Abadeh, Liviu Aolaritei, Florian Dörfler, Daniel Kuhn
2023	J	`jnl`	On approximations of data-driven chance constrained programs over Wasserstein balls. Oper. Res. Lett. Zhi Chen, Daniel Kuhn, Wolfram Wiesemann
2023	—	`conf`	PIQP: A Proximal Interior-Point Quadratic Programming Solver. CDC Roland Schwan, Yuning Jiang, Daniel Kuhn, Colin N. Jones
2023	J	`jnl`	Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets. CoRR Mengmeng Li, Tobias Sutter, Daniel Kuhn
2023	J	`jnl`	Semi-discrete optimal transport: hardness, regularization and numerical solution. Math. Program. Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn
2023	J	`jnl`	Stability Verification of Neural Network Controllers Using Mixed-Integer Programming. IEEE Trans. Autom. Control. Roland Schwan, Colin N. Jones, Daniel Kuhn
2022	J	`jnl`	Discrete Optimal Transport with Independent Marginals is #P-Hard. CoRR Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Karthik Natarajan
2022	J	`jnl`	Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator. Oper. Res. Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani
2022	J	`jnl`	Metrizing Fairness. CoRR Yves Rychener, Bahar Taskesen, Daniel Kuhn
2022	J	`jnl`	On linear optimization over Wasserstein balls. Math. Program. Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann
2022	J	`jnl`	Robust multidimensional pricing: separation without regret. Math. Program. Çagil Koçyigit, Napat Rujeerapaiboon, Daniel Kuhn
2022	J	`jnl`	Scenario reduction revisited: fundamental limits and guarantees. Math. Program. Napat Rujeerapaiboon, Kilian Schindler, Daniel Kuhn, Wolfram Wiesemann
2022	J	`jnl`	Stability Verification of Neural Network Controllers using Mixed-Integer Programming. CoRR Roland Schwan, Colin N. Jones, Daniel Kuhn
2022	J	`jnl`	Topological Linear System Identification via Moderate Deviations Theory. IEEE Control. Syst. Lett. Wouter Jongeneel, Tobias Sutter, Daniel Kuhn
2021	—	`conf`	A Statistical Test for Probabilistic Fairness. FAccT Bahar Taskesen, Jose H. Blanchet, Daniel Kuhn, Viet Anh Nguyen
2021	A*	`conf`	Distributionally Robust Optimization with Markovian Data. ICML Mengmeng Li, Tobias Sutter, Daniel Kuhn
2021	J	`jnl`	Distributionally Robust Optimization with Markovian Data. CoRR Mengmeng Li, Tobias Sutter, Daniel Kuhn
2021	J	`jnl`	Efficient Learning of a Linear Dynamical System with Stability Guarantees. CoRR Wouter Jongeneel, Tobias Sutter, Daniel Kuhn
2021	J	`jnl`	Energy and reserve dispatch with distributionally robust joint chance constraints. Oper. Res. Lett. Christos Ordoudis, Viet Anh Nguyen, Daniel Kuhn, Pierre Pinson
2021	J	`jnl`	From Data to Decisions: Distributionally Robust Optimization Is Optimal. Manag. Sci. Bart P. G. Van Parys, Peyman Mohajerin Esfahani, Daniel Kuhn
2021	—	`conf`	On Topological Equivalence in Linear Quadratic Optimal Control. ECC Wouter Jongeneel, Daniel Kuhn
2021	A*	`conf`	Robust Generalization despite Distribution Shift via Minimum Discriminating Information. NeurIPS Tobias Sutter, Andreas Krause, Daniel Kuhn
2021	J	`jnl`	Robust Generalization despite Distribution Shift via Minimum Discriminating Information. CoRR Tobias Sutter, Andreas Krause, Daniel Kuhn
2021	J	`jnl`	Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution. CoRR Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn
2021	A*	`conf`	Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts. ICML Bahar Taskesen, Man-Chung Yue, Jose H. Blanchet, Daniel Kuhn, Viet Anh Nguyen
2021	J	`jnl`	Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts. CoRR Bahar Taskesen, Man-Chung Yue, Jose H. Blanchet, Daniel Kuhn, Viet Anh Nguyen
2020	J	`jnl`	A Distributionally Robust Approach to Fair Classification. CoRR Bahar Taskesen, Viet Anh Nguyen, Daniel Kuhn, Jose H. Blanchet
2020	J	`jnl`	A Statistical Test for Probabilistic Fairness. CoRR Bahar Taskesen, Jose H. Blanchet, Daniel Kuhn, Viet Anh Nguyen
2020	J	`jnl`	Distributionally Robust Mechanism Design. Manag. Sci. Çagil Koçyigit, Garud Iyengar, Daniel Kuhn, Wolfram Wiesemann
2020	J	`jnl`	Distributionally robust optimization with polynomial densities: theory, models and algorithms. Math. Program. Etienne de Klerk, Daniel Kuhn, Krzysztof Postek
2020	J	`jnl`	On Linear Optimization over Wasserstein Balls. CoRR Man-Chung Yue, Daniel Kuhn, 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	J	`jnl`	Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization. CoRR Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani
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`	Regularization via Mass Transportation. J. Mach. Learn. Res. Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani
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
2019	J	`jnl`	Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning. CoRR Daniel Kuhn, Peyman Mohajerin Esfahani, Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh
2018	J	`jnl`	Chebyshev Inequalities for Products of Random Variables. Math. Oper. Res. Napat Rujeerapaiboon, Daniel Kuhn, Wolfram Wiesemann
2018	J	`jnl`	Conic Programming Reformulations of Two-Stage Distributionally Robust Linear Programs over Wasserstein Balls. Oper. Res. Grani Adiwena Hanasusanto, Daniel Kuhn
2018	J	`jnl`	Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations. Math. Program. Peyman Mohajerin Esfahani, Daniel Kuhn
2018	J	`jnl`	Data-driven inverse optimization with imperfect information. Math. Program. Peyman Mohajerin Esfahani, Soroosh Shafieezadeh-Abadeh, Grani Adiwena Hanasusanto, Daniel Kuhn
2018	J	`jnl`	From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming. SIAM J. Optim. Peyman Mohajerin Esfahani, Tobias Sutter, Daniel Kuhn, John Lygeros
2018	—	`conf`	On Risk Reduction in Kelly Betting Using the Conservative Expected Value. CDC Napat Rujeerapaiboon, B. Ross Barmish, Daniel Kuhn
2018	A*	`conf`	Wasserstein Distributionally Robust Kalman Filtering. NeurIPS Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani
2018	J	`jnl`	Wasserstein Distributionally Robust Kalman Filtering. CoRR Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani
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`	From Data to Decisions: Distributionally Robust Optimization is Optimal. CoRR Bart P. G. Van Parys, Peyman Mohajerin Esfahani, Daniel Kuhn
2017	J	`jnl`	From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming. CoRR Peyman Mohajerin Esfahani, Tobias Sutter, Daniel Kuhn, John Lygeros
2017	J	`jnl`	Regularization via Mass Transportation. CoRR Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani
2016	J	`jnl`	A comment on "computational complexity of stochastic programming problems". Math. Program. Grani Adiwena Hanasusanto, Daniel Kuhn, Wolfram Wiesemann
2016	J	`jnl`	Distributionally Robust Control of Constrained Stochastic Systems. IEEE Trans. Autom. Control. Bart P. G. Van Parys, Daniel Kuhn, Paul J. Goulart, Manfred Morari
2016	J	`jnl`	Generalized Gauss inequalities via semidefinite programming. Math. Program. Bart P. G. Van Parys, Paul J. Goulart, Daniel Kuhn
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	—	`conf`	Distributionally Robust Logistic Regression. NIPS Soroosh Shafieezadeh-Abadeh, Peyman Mohajerin Esfahani, Daniel Kuhn
2015	J	`jnl`	Distributionally robust multi-item newsvendor problems with multimodal demand distributions. Math. Program. Grani Adiwena Hanasusanto, Daniel Kuhn, Stein W. Wallace, Steve Zymler
2015	J	`jnl`	Financial Optimization: optimization paradigms and financial planning under uncertainty. OR Spectr. Giorgio Consigli, Paolo Brandimarte, Daniel Kuhn
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
2014	J	`jnl`	Distributionally Robust Convex Optimization. Oper. Res. Wolfram Wiesemann, Daniel Kuhn, Melvyn Sim
2013	J	`jnl`	Distributionally robust joint chance constraints with second-order moment information. Math. Program. Steve Zymler, Daniel Kuhn, Berç Rustem
2013	J	`jnl`	Parallel partitioning for distributed systems using sequential assignment. J. Parallel Distributed Comput. Simon A. Spacey, Wayne Luk, Daniel Kuhn, Paul H. J. Kelly
2013	—	`conf`	Robust Data-Driven Dynamic Programming. NIPS Grani Adiwena Hanasusanto, Daniel Kuhn
2013	J	`jnl`	Robust Markov Decision Processes. Math. Oper. Res. Wolfram Wiesemann, Daniel Kuhn, Berç Rustem
2013	J	`jnl`	Worst-Case Value at Risk of Nonlinear Portfolios. Manag. Sci. Steve Zymler, Daniel Kuhn, Berç Rustem
2012	J	`jnl`	A constraint sampling approach for multi-stage robust optimization. Autom. Phebe Vayanos, Daniel Kuhn, Berç Rustem
2012	J	`jnl`	Improving communication latency with the write-only architecture. J. Parallel Distributed Comput. Simon A. Spacey, Wayne Luk, Paul H. J. Kelly, Daniel Kuhn
2012	J	`jnl`	Multi-resource allocation in stochastic project scheduling. Ann. Oper. Res. Wolfram Wiesemann, Daniel Kuhn, Berç Rustem
2012	—	`conf`	Risk-averse shortest path problems. CDC Christos Gavriel, Grani Adiwena Hanasusanto, Daniel Kuhn
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 resource allocations in temporal networks. Math. Program. Wolfram Wiesemann, Daniel Kuhn, Berç Rustem
2011	—	`conf`	Decision rules for information discovery in multi-stage stochastic programming. CDC/ECC Phebe Vayanos, 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	J	`jnl`	Robust portfolio optimization with derivative insurance guarantees. Eur. J. Oper. Res. Steve Zymler, Berç Rustem, Daniel Kuhn
2011	A*	`conf`	SQPR: Stream query planning with reuse. ICDE Evangelia Kalyvianaki, Wolfram Wiesemann, Quang Hieu Vu, Daniel Kuhn, Peter R. Pietzuch
2010	—	`conf`	A cutting-plane method for Mixed-Logical Semidefinite Programs with an application to multi-vehicle robust path planning. CDC Fook Wai Kong, Daniel Kuhn, Berç Rustem
2010	J	`jnl`	Maximizing the net present value of a project under uncertainty. Eur. J. Oper. Res. Wolfram Wiesemann, Daniel Kuhn, Berç Rustem
2008	B	`conf`	A Stochastic Programming Approach for QoS-Aware Service Composition. CCGRID Wolfram Wiesemann, Ronald Hochreiter, Daniel Kuhn
2008	J	`jnl`	Bound-based decision rules in multistage stochastic programming. Kybernetika Daniel Kuhn, Panos Parpas, Berç Rustem