Daniel Kuhn

According to our database, Daniel Kuhn authored at least 70 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Stability Verification of Neural Network Controllers Using Mixed-Integer Programming.

Roland Schwan, Colin N. Jones, Daniel Kuhn

IEEE Trans. Autom. Control., December, 2023

Efficient Learning of a Linear Dynamical System With Stability Guarantees.

Wouter Jongeneel, Tobias Sutter, Daniel Kuhn

IEEE Trans. Autom. Control., May, 2023

On approximations of data-driven chance constrained programs over Wasserstein balls.

Zhi Chen, Daniel Kuhn, Wolfram Wiesemann

Oper. Res. Lett., May, 2023

Semi-discrete optimal transport: hardness, regularization and numerical solution.

Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn

Math. Program., May, 2023

Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization.

Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani

Math. Oper. Res., February, 2023

Discrete Optimal Transport with Independent Marginals is #P-Hard.

Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Karthik Natarajan

SIAM J. Optim., 2023

Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets.

Mengmeng Li, Tobias Sutter, Daniel Kuhn

CoRR, 2023

New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization.

Soroosh Shafieezadeh-Abadeh, Liviu Aolaritei, Florian Dörfler, Daniel Kuhn

CoRR, 2023

Distributionally Robust Linear Quadratic Control.

Bahar Taskesen, Dan A. Iancu, Çagil Koçyigit, Daniel Kuhn

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Contextual Stochastic Bilevel Optimization.

Yifan Hu, Jie Wang, Yao Xie, Andreas Krause, Daniel Kuhn

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

End-to-End Learning for Stochastic Optimization: A Bayesian Perspective.

Yves Rychener, Daniel Kuhn, Tobias Sutter

Proceedings of the International Conference on Machine Learning, 2023

PIQP: A Proximal Interior-Point Quadratic Programming Solver.

Roland Schwan, Yuning Jiang, Daniel Kuhn, Colin N. Jones

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

On linear optimization over Wasserstein balls.

Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann

Math. Program., 2022

Scenario reduction revisited: fundamental limits and guarantees.

Napat Rujeerapaiboon, Kilian Schindler, Daniel Kuhn, Wolfram Wiesemann

Math. Program., 2022

Robust multidimensional pricing: separation without regret.

Çagil Koçyigit, Napat Rujeerapaiboon, Daniel Kuhn

Math. Program., 2022

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator.

Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani

Oper. Res., 2022

Topological Linear System Identification via Moderate Deviations Theory.

Wouter Jongeneel, Tobias Sutter, Daniel Kuhn

IEEE Control. Syst. Lett., 2022

Metrizing Fairness.

Yves Rychener, Bahar Taskesen, Daniel Kuhn

CoRR, 2022

2021

Energy and reserve dispatch with distributionally robust joint chance constraints.

Christos Ordoudis, Viet Anh Nguyen, Daniel Kuhn, Pierre Pinson

Oper. Res. Lett., 2021

From Data to Decisions: Distributionally Robust Optimization Is Optimal.

Bart P. G. Van Parys, Peyman Mohajerin Esfahani, Daniel Kuhn

Manag. Sci., 2021

Robust Generalization despite Distribution Shift via Minimum Discriminating Information.

Tobias Sutter, Andreas Krause, Daniel Kuhn

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts.

Bahar Taskesen, Man-Chung Yue, Jose H. Blanchet, Daniel Kuhn, Viet Anh Nguyen

Proceedings of the 38th International Conference on Machine Learning, 2021

Distributionally Robust Optimization with Markovian Data.

Mengmeng Li, Tobias Sutter, Daniel Kuhn

Proceedings of the 38th International Conference on Machine Learning, 2021

A Statistical Test for Probabilistic Fairness.

Bahar Taskesen, Jose H. Blanchet, Daniel Kuhn, Viet Anh Nguyen

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

On Topological Equivalence in Linear Quadratic Optimal Control.

Wouter Jongeneel, Daniel Kuhn

Proceedings of the 2021 European Control Conference, 2021

2020

Distributionally robust optimization with polynomial densities: theory, models and algorithms.

Etienne de Klerk, Daniel Kuhn, Krzysztof Postek

Math. Program., 2020

Distributionally Robust Mechanism Design.

Çagil Koçyigit, Garud Iyengar, Daniel Kuhn, Wolfram Wiesemann

Manag. Sci., 2020

A Distributionally Robust Approach to Fair Classification.

Bahar Taskesen, Viet Anh Nguyen, Daniel Kuhn, Jose H. Blanchet

CoRR, 2020

2019

Size Matters: Cardinality-Constrained Clustering and Outlier Detection via Conic Optimization.

Napat Rujeerapaiboon, Kilian Schindler, Daniel Kuhn, Wolfram Wiesemann

SIAM J. Optim., 2019

"Dice"-sion-Making Under Uncertainty: When Can a Random Decision Reduce Risk?

Erick Delage, Daniel Kuhn, Wolfram Wiesemann

Manag. Sci., 2019

Regularization via Mass Transportation.

Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani

J. Mach. Learn. Res., 2019

Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning.

Daniel Kuhn, Peyman Mohajerin Esfahani, Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh

CoRR, 2019

The decision rule approach to optimization under uncertainty: methodology and applications.

Angelos Georghiou, Daniel Kuhn, Wolfram Wiesemann

Comput. Manag. Sci., 2019

Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation.

Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization.

Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming.

Peyman Mohajerin Esfahani, Tobias Sutter, Daniel Kuhn, John Lygeros

SIAM J. Optim., 2018

Data-driven inverse optimization with imperfect information.

Peyman Mohajerin Esfahani, Soroosh Shafieezadeh-Abadeh, Grani Adiwena Hanasusanto, Daniel Kuhn

Math. Program., 2018

Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations.

Peyman Mohajerin Esfahani, Daniel Kuhn

Math. Program., 2018

Chebyshev Inequalities for Products of Random Variables.

Napat Rujeerapaiboon, Daniel Kuhn, Wolfram Wiesemann

Math. Oper. Res., 2018

Conic Programming Reformulations of Two-Stage Distributionally Robust Linear Programs over Wasserstein Balls.

Grani Adiwena Hanasusanto, Daniel Kuhn

Oper. Res., 2018

Wasserstein Distributionally Robust Kalman Filtering.

Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

On Risk Reduction in Kelly Betting Using the Conservative Expected Value.

Napat Rujeerapaiboon, B. Ross Barmish, Daniel Kuhn

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Ambiguous Joint Chance Constraints Under Mean and Dispersion Information.

Grani Adiwena Hanasusanto, Vladimir Roitch, Daniel Kuhn, Wolfram Wiesemann

Oper. Res., 2017

2016

Distributionally Robust Control of Constrained Stochastic Systems.

Bart P. G. Van Parys, Daniel Kuhn, Paul J. Goulart, Manfred Morari

IEEE Trans. Autom. Control., 2016

K-adaptability in two-stage distributionally robust binary programming.

Grani Adiwena Hanasusanto, Daniel Kuhn, Wolfram Wiesemann

Oper. Res. Lett., 2016

Generalized Gauss inequalities via semidefinite programming.

Bart P. G. Van Parys, Paul J. Goulart, Daniel Kuhn

Math. Program., 2016

A comment on "computational complexity of stochastic programming problems".

Grani Adiwena Hanasusanto, Daniel Kuhn, Wolfram Wiesemann

Math. Program., 2016

Robust Growth-Optimal Portfolios.

Napat Rujeerapaiboon, Daniel Kuhn, Wolfram Wiesemann

Manag. Sci., 2016

<i>Computational Management Science</i> Special Issue on "Optimisation methods and applications in the energy sector".

Stein-Erik Fleten, Daniel Kuhn, Afzal S. Siddiqui

Comput. Manag. Sci., 2016

2015

Financial Optimization: optimization paradigms and financial planning under uncertainty.

Giorgio Consigli, Paolo Brandimarte, Daniel Kuhn

OR Spectr., 2015

A distributionally robust perspective on uncertainty quantification and chance constrained programming.

Grani Adiwena Hanasusanto, Vladimir Roitch, Daniel Kuhn, Wolfram Wiesemann

Math. Program., 2015

Distributionally robust multi-item newsvendor problems with multimodal demand distributions.

Grani Adiwena Hanasusanto, Daniel Kuhn, Stein W. Wallace, Steve Zymler

Math. Program., 2015

Generalized decision rule approximations for stochastic programming via liftings.

Angelos Georghiou, Wolfram Wiesemann, Daniel Kuhn

Math. Program., 2015

Interdiction Games on Markovian PERT Networks.

Eli Gutin, Daniel Kuhn, Wolfram Wiesemann

Manag. Sci., 2015

<i>K</i>-Adaptability in Two-Stage Robust Binary Programming.

Grani Adiwena Hanasusanto, Daniel Kuhn, Wolfram Wiesemann

Oper. Res., 2015

Distributionally Robust Logistic Regression.

Soroosh Shafieezadeh-Abadeh, Peyman Mohajerin Esfahani, Daniel Kuhn

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Distributionally Robust Convex Optimization.

Wolfram Wiesemann, Daniel Kuhn, Melvyn Sim

Oper. Res., 2014

2013

Distributionally robust joint chance constraints with second-order moment information.

Steve Zymler, Daniel Kuhn, Berç Rustem

Math. Program., 2013

Robust Markov Decision Processes.

Wolfram Wiesemann, Daniel Kuhn, Berç Rustem

Math. Oper. Res., 2013

Worst-Case Value at Risk of Nonlinear Portfolios.

Steve Zymler, Daniel Kuhn, Berç Rustem

Manag. Sci., 2013

Robust Data-Driven Dynamic Programming.

Grani Adiwena Hanasusanto, Daniel Kuhn

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Robust resource allocations in temporal networks.

Wolfram Wiesemann, Daniel Kuhn, Berç Rustem

Math. Program., 2012

Robust Software Partitioning with Multiple Instantiation.

Simon A. Spacey, Wolfram Wiesemann, Daniel Kuhn, Wayne Luk

INFORMS J. Comput., 2012

Multi-resource allocation in stochastic project scheduling.

Wolfram Wiesemann, Daniel Kuhn, Berç Rustem

Ann. Oper. Res., 2012

Risk-averse shortest path problems.

Christos Gavriel, Grani Adiwena Hanasusanto, Daniel Kuhn

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011

Primal and dual linear decision rules in stochastic and robust optimization.

Daniel Kuhn, Wolfram Wiesemann, Angelos Georghiou

Math. Program., 2011

Robust portfolio optimization with derivative insurance guarantees.

Steve Zymler, Berç Rustem, Daniel Kuhn

Eur. J. Oper. Res., 2011

SQPR: Stream query planning with reuse.

Evangelia Kalyvianaki, Wolfram Wiesemann, Quang Hieu Vu, Daniel Kuhn, Peter R. Pietzuch

Proceedings of the 27th International Conference on Data Engineering, 2011

2010

Maximizing the net present value of a project under uncertainty.

Wolfram Wiesemann, Daniel Kuhn, Berç Rustem

Eur. J. Oper. Res., 2010

2008

A Stochastic Programming Approach for QoS-Aware Service Composition.

Wolfram Wiesemann, Ronald Hochreiter, Daniel Kuhn

Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2008), 2008