Daniel Kuhn
Orcid: 0000-0003-2697-8886Affiliations:
- EPFL, Lausanne, Switzerland
According to our database1,
Daniel Kuhn
authored at least 85 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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on id.loc.gov
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on d-nb.info
On csauthors.net:
Bibliography
2024
Reliable Frequency Regulation Through Vehicle-to-Grid: Encoding Legislation with Robust Constraints.
Manuf. Serv. Oper. Manag., 2024
Oper. Res., 2024
A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set.
CoRR, 2024
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024
2023
Stability Verification of Neural Network Controllers Using Mixed-Integer Programming.
IEEE Trans. Autom. Control., December, 2023
IEEE Trans. Autom. Control., May, 2023
Oper. Res. Lett., May, 2023
Math. Program., May, 2023
Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization.
Math. Oper. Res., February, 2023
SIAM J. Optim., 2023
CoRR, 2023
New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
Math. Program., 2022
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator.
Oper. Res., 2022
IEEE Control. Syst. Lett., 2022
2021
Oper. Res. Lett., 2021
Manag. Sci., 2021
Robust Generalization despite Distribution Shift via Minimum Discriminating Information.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021
Proceedings of the 2021 European Control Conference, 2021
2020
Distributionally robust optimization with polynomial densities: theory, models and algorithms.
Math. Program., 2020
2019
Size Matters: Cardinality-Constrained Clustering and Outlier Detection via Conic Optimization.
SIAM J. Optim., 2019
Manag. Sci., 2019
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning.
CoRR, 2019
The decision rule approach to optimization under uncertainty: methodology and applications.
Comput. Manag. Sci., 2019
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
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.
SIAM J. Optim., 2018
Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations.
Math. Program., 2018
Conic Programming Reformulations of Two-Stage Distributionally Robust Linear Programs over Wasserstein Balls.
Oper. Res., 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
Oper. Res., 2017
2016
IEEE Trans. Autom. Control., 2016
Oper. Res. Lett., 2016
Math. Program., 2016
<i>Computational Management Science</i> Special Issue on "Optimisation methods and applications in the energy sector".
Comput. Manag. Sci., 2016
2015
Financial Optimization: optimization paradigms and financial planning under uncertainty.
OR Spectr., 2015
A distributionally robust perspective on uncertainty quantification and chance constrained programming.
Math. Program., 2015
Distributionally robust multi-item newsvendor problems with multimodal demand distributions.
Math. Program., 2015
Math. Program., 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
2014
2013
Distributionally robust joint chance constraints with second-order moment information.
Math. Program., 2013
J. Parallel Distributed Comput., 2013
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
J. Parallel Distributed Comput., 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
2011
Math. Program., 2011
Eur. J. Oper. Res., 2011
Proceedings of the 27th International Conference on Data Engineering, 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2010
Eur. J. Oper. Res., 2010
A cutting-plane method for Mixed-Logical Semidefinite Programs with an application to multi-vehicle robust path planning.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
2008
Proceedings of the 8th IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2008), 2008