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ORCIDDaniel Kuhn 0001
Person information
- affiliation: EPFL, Lausanne, Switzerland
Other persons with the same name
- Daniel Kuhn — disambiguation page
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2020 – today
- 2024
[j58]Dirk Lauinger
, François Vuille, Daniel Kuhn:
Frequency regulation with storage: On losses and profits. Eur. J. Oper. Res. 319(2): 442-455 (2024)- [j57]Çagil Koçyigit, Daniel Kuhn, Napat Rujeerapaiboon:
Regret Minimization and Separation in Multi-Bidder, Multi-Item Auctions. INFORMS J. Comput. 36(6): 1543-1561 (2024) - [j56]Kilian Schindler, Napat Rujeerapaiboon, Daniel Kuhn, Wolfram Wiesemann:
A Planner-Trader Decomposition for Multimarket Hydro Scheduling. Oper. Res. 72(1): 185-202 (2024) - [j55]Zhi Chen, Daniel Kuhn, Wolfram Wiesemann:
Technical Note - Data-Driven Chance Constrained Programs over Wasserstein Balls. Oper. Res. 72(1): 410-424 (2024) - [j54]Tobias Sutter, Bart P. G. Van Parys, Daniel Kuhn:
A Pareto Dominance Principle for Data-Driven Optimization. Oper. Res. 72(5): 1976-1999 (2024) - [j53]Dirk Lauinger, François Vuille, Daniel Kuhn:
Reliable Frequency Regulation Through Vehicle-to-Grid: Encoding Legislation with Robust Constraints. Manuf. Serv. Oper. Manag. 26(2): 722-738 (2024) - [j52]Wouter Jongeneel, Man-Chung Yue, Daniel Kuhn:
Small Errors in Random Zeroth-Order Optimization Are Imaginary. SIAM J. Optim. 34(3): 2638-2670 (2024) - [c21]Wouter Jongeneel, Daniel Kuhn, Mengmeng Li:
A large deviations perspective on policy gradient algorithms. L4DC 2024: 916-928 - [i28]Man-Chung Yue, Yves Rychener, Daniel Kuhn, Viet Anh Nguyen:
A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set. CoRR abs/2405.20124 (2024) - [i27]Mengmeng Li, Daniel Kuhn, Bahar Taskesen:
Optimism in the Face of Ambiguity Principle for Multi-Armed Bandits. CoRR abs/2409.20440 (2024) - [i26]Daniel Kuhn, Soroosh Shafiee, Wolfram Wiesemann:
Distributionally Robust Optimization. CoRR abs/2411.02549 (2024) - 2023
- [j51]Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani:
Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization. Math. Oper. Res. 48(1): 1-37 (2023) - [j50]Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn:
Semi-discrete optimal transport: hardness, regularization and numerical solution. Math. Program. 199(1): 1033-1106 (2023) - [j49]Zhi Chen, Daniel Kuhn, Wolfram Wiesemann:
On approximations of data-driven chance constrained programs over Wasserstein balls. Oper. Res. Lett. 51(3): 226-233 (2023) - [j48]Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Karthik Natarajan:
Discrete Optimal Transport with Independent Marginals is #P-Hard. SIAM J. Optim. 33(2): 589-614 (2023) - [j47]Wouter Jongeneel, Tobias Sutter, Daniel Kuhn:
Efficient Learning of a Linear Dynamical System With Stability Guarantees. IEEE Trans. Autom. Control. 68(5): 2790-2804 (2023) - [j46]Roland Schwan, Colin N. Jones, Daniel Kuhn:
Stability Verification of Neural Network Controllers Using Mixed-Integer Programming. IEEE Trans. Autom. Control. 68(12): 7514-7529 (2023) - [c20]Roland Schwan, Yuning Jiang, Daniel Kuhn, Colin N. Jones:
PIQP: A Proximal Interior-Point Quadratic Programming Solver. CDC 2023: 1088-1093 - [c19]Yves Rychener, Daniel Kuhn, Tobias Sutter:
End-to-End Learning for Stochastic Optimization: A Bayesian Perspective. ICML 2023: 29455-29472 - [c18]Yifan Hu, Jie Wang, Yao Xie, Andreas Krause, Daniel Kuhn:
Contextual Stochastic Bilevel Optimization. NeurIPS 2023 - [c17]Bahar Taskesen, Dan A. Iancu, Çagil Koçyigit, Daniel Kuhn:
Distributionally Robust Linear Quadratic Control. NeurIPS 2023 - [i25]Soroosh Shafieezadeh-Abadeh, Liviu Aolaritei, Florian Dörfler, Daniel Kuhn:
New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization. CoRR abs/2303.03900 (2023) - [i24]Bahar Taskesen, Dan A. Iancu, Çagil Koçyigit, Daniel Kuhn:
Distributionally Robust Linear Quadratic Control. CoRR abs/2305.17037 (2023) - [i23]Mengmeng Li, Tobias Sutter, Daniel Kuhn:
Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets. CoRR abs/2305.19004 (2023) - [i22]Dirk Lauinger, François Vuille, Daniel Kuhn:
Frequency Regulation with Storage: On Losses and Profits. CoRR abs/2306.02987 (2023) - [i21]Yves Rychener, Daniel Kuhn, Tobias Sutter:
End-to-End Learning for Stochastic Optimization: A Bayesian Perspective. CoRR abs/2306.04174 (2023) - [i20]Yifan Hu, Jie Wang, Yao Xie, Andreas Krause, Daniel Kuhn:
Contextual Stochastic Bilevel Optimization. CoRR abs/2310.18535 (2023) - 2022
- [j45]Wouter Jongeneel, Tobias Sutter, Daniel Kuhn:
Topological Linear System Identification via Moderate Deviations Theory. IEEE Control. Syst. Lett. 6: 307-312 (2022) - [j44]Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani:
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator. Oper. Res. 70(1): 490-515 (2022) - [j43]Napat Rujeerapaiboon, Kilian Schindler, Daniel Kuhn, Wolfram Wiesemann:
Scenario reduction revisited: fundamental limits and guarantees. Math. Program. 191(1): 207-242 (2022) - [j42]Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann:
On linear optimization over Wasserstein balls. Math. Program. 195(1): 1107-1122 (2022) - [j41]Çagil Koçyigit, Napat Rujeerapaiboon, Daniel Kuhn:
Robust multidimensional pricing: separation without regret. Math. Program. 196(1): 841-874 (2022) - [i19]Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Karthik Natarajan:
Discrete Optimal Transport with Independent Marginals is #P-Hard. CoRR abs/2203.01161 (2022) - [i18]Yves Rychener, Bahar Taskesen, Daniel Kuhn:
Metrizing Fairness. CoRR abs/2205.15049 (2022) - [i17]Roland Schwan, Colin N. Jones, Daniel Kuhn:
Stability Verification of Neural Network Controllers using Mixed-Integer Programming. CoRR abs/2206.13374 (2022) - 2021
- [j40]Bart P. G. Van Parys, Peyman Mohajerin Esfahani, Daniel Kuhn:
From Data to Decisions: Distributionally Robust Optimization Is Optimal. Manag. Sci. 67(6): 3387-3402 (2021) - [j39]Christos Ordoudis, Viet Anh Nguyen, Daniel Kuhn, Pierre Pinson:
Energy and reserve dispatch with distributionally robust joint chance constraints. Oper. Res. Lett. 49(3): 291-299 (2021) - [c16]Wouter Jongeneel, Daniel Kuhn:
On Topological Equivalence in Linear Quadratic Optimal Control. ECC 2021: 2002-2007 - [c15]Bahar Taskesen, Jose H. Blanchet, Daniel Kuhn, Viet Anh Nguyen:
A Statistical Test for Probabilistic Fairness. FAccT 2021: 648-665 - [c14]Mengmeng Li, Tobias Sutter, Daniel Kuhn:
Distributionally Robust Optimization with Markovian Data. ICML 2021: 6493-6503 - [c13]Bahar Taskesen, Man-Chung Yue, Jose H. Blanchet, Daniel Kuhn, Viet Anh Nguyen:
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts. ICML 2021: 10162-10172 - [c12]Tobias Sutter, Andreas Krause, Daniel Kuhn:
Robust Generalization despite Distribution Shift via Minimum Discriminating Information. NeurIPS 2021: 29754-29767 - [i16]Wouter Jongeneel, Tobias Sutter, Daniel Kuhn:
Efficient Learning of a Linear Dynamical System with Stability Guarantees. CoRR abs/2102.03664 (2021) - [i15]Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn:
Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution. CoRR abs/2103.06263 (2021) - [i14]Bahar Taskesen, Man-Chung Yue, Jose H. Blanchet, Daniel Kuhn, Viet Anh Nguyen:
Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts. CoRR abs/2106.00322 (2021) - [i13]Tobias Sutter, Andreas Krause, Daniel Kuhn:
Robust Generalization despite Distribution Shift via Minimum Discriminating Information. CoRR abs/2106.04443 (2021) - [i12]Mengmeng Li, Tobias Sutter, Daniel Kuhn:
Distributionally Robust Optimization with Markovian Data. CoRR abs/2106.06741 (2021) - 2020
- [j38]Çagil Koçyigit, Garud Iyengar, Daniel Kuhn, Wolfram Wiesemann:
Distributionally Robust Mechanism Design. Manag. Sci. 66(1): 159-189 (2020) - [j37]Etienne de Klerk, Daniel Kuhn, Krzysztof Postek:
Distributionally robust optimization with polynomial densities: theory, models and algorithms. Math. Program. 181(2): 265-296 (2020) - [i11]Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann:
On Linear Optimization over Wasserstein Balls. CoRR abs/2004.07162 (2020) - [i10]Bahar Taskesen, Viet Anh Nguyen, Daniel Kuhn, Jose H. Blanchet:
A Distributionally Robust Approach to Fair Classification. CoRR abs/2007.09530 (2020) - [i9]Bahar Taskesen, Jose H. Blanchet, Daniel Kuhn, Viet Anh Nguyen:
A Statistical Test for Probabilistic Fairness. CoRR abs/2012.04800 (2020)
2010 – 2019
- 2019
- [j36]Angelos Georghiou, Daniel Kuhn, Wolfram Wiesemann:
The decision rule approach to optimization under uncertainty: methodology and applications. Comput. Manag. Sci. 16(4): 545-576 (2019) - [j35]Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani:
Regularization via Mass Transportation. J. Mach. Learn. Res. 20: 103:1-103:68 (2019) - [j34]Erick Delage, Daniel Kuhn, Wolfram Wiesemann:
"Dice"-sion-Making Under Uncertainty: When Can a Random Decision Reduce Risk? Manag. Sci. 65(7): 3282-3301 (2019) - [j33]Napat Rujeerapaiboon, Kilian Schindler, Daniel Kuhn, Wolfram Wiesemann:
Size Matters: Cardinality-Constrained Clustering and Outlier Detection via Conic Optimization. SIAM J. Optim. 29(2): 1211-1239 (2019) - [c11]Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann:
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization. NeurIPS 2019: 13920-13931 - [c10]Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann:
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation. NeurIPS 2019: 15846-15856 - [i8]Daniel Kuhn, Peyman Mohajerin Esfahani, Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh:
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning. CoRR abs/1908.08729 (2019) - [i7]Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann:
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization. CoRR abs/1910.07817 (2019) - [i6]Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Man-Chung Yue, Daniel Kuhn, Wolfram Wiesemann:
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation. CoRR abs/1910.10583 (2019) - [i5]Viet Anh Nguyen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani:
Bridging Bayesian and Minimax Mean Square Error Estimation via Wasserstein Distributionally Robust Optimization. CoRR abs/1911.03539 (2019) - 2018
- [j32]Grani Adiwena Hanasusanto, Daniel Kuhn:
Conic Programming Reformulations of Two-Stage Distributionally Robust Linear Programs over Wasserstein Balls. Oper. Res. 66(3): 849-869 (2018) - [j31]Napat Rujeerapaiboon, Daniel Kuhn, Wolfram Wiesemann:
Chebyshev Inequalities for Products of Random Variables. Math. Oper. Res. 43(3): 887-918 (2018) - [j30]Peyman Mohajerin Esfahani, Soroosh Shafieezadeh-Abadeh, Grani Adiwena Hanasusanto, Daniel Kuhn:
Data-driven inverse optimization with imperfect information. Math. Program. 167(1): 191-234 (2018) - [j29]Peyman Mohajerin Esfahani, Daniel Kuhn:
Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations. Math. Program. 171(1-2): 115-166 (2018) - [j28]Peyman Mohajerin Esfahani, Tobias Sutter, Daniel Kuhn, John Lygeros:
From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming. SIAM J. Optim. 28(3): 1968-1998 (2018) - [c9]Napat Rujeerapaiboon, B. Ross Barmish, Daniel Kuhn:
On Risk Reduction in Kelly Betting Using the Conservative Expected Value. CDC 2018: 5801-5806 - [c8]Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani:
Wasserstein Distributionally Robust Kalman Filtering. NeurIPS 2018: 8483-8492 - [i4]Soroosh Shafieezadeh-Abadeh, Viet Anh Nguyen, Daniel Kuhn, Peyman Mohajerin Esfahani:
Wasserstein Distributionally Robust Kalman Filtering. CoRR abs/1809.08830 (2018) - 2017
- [j27]Grani Adiwena Hanasusanto, Vladimir Roitch, Daniel Kuhn, Wolfram Wiesemann:
Ambiguous Joint Chance Constraints Under Mean and Dispersion Information. Oper. Res. 65(3): 751-767 (2017) - [i3]Peyman Mohajerin Esfahani, Tobias Sutter, Daniel Kuhn, John Lygeros:
From Infinite to Finite Programs: Explicit Error Bounds with Applications to Approximate Dynamic Programming. CoRR abs/1701.06379 (2017) - [i2]Bart P. G. Van Parys, Peyman Mohajerin Esfahani, Daniel Kuhn:
From Data to Decisions: Distributionally Robust Optimization is Optimal. CoRR abs/1704.04118 (2017) - [i1]Soroosh Shafieezadeh-Abadeh, Daniel Kuhn, Peyman Mohajerin Esfahani:
Regularization via Mass Transportation. CoRR abs/1710.10016 (2017) - 2016
- [j26]Stein-Erik Fleten, Daniel Kuhn, Afzal S. Siddiqui:
Computational Management Science Special Issue on "Optimisation methods and applications in the energy sector". Comput. Manag. Sci. 13(1): 1-3 (2016) - [j25]Napat Rujeerapaiboon, Daniel Kuhn, Wolfram Wiesemann:
Robust Growth-Optimal Portfolios. Manag. Sci. 62(7): 2090-2109 (2016) - [j24]Bart P. G. Van Parys, Paul J. Goulart, Daniel Kuhn:
Generalized Gauss inequalities via semidefinite programming. Math. Program. 156(1-2): 271-302 (2016) - [j23]Grani Adiwena Hanasusanto, Daniel Kuhn, Wolfram Wiesemann:
A comment on "computational complexity of stochastic programming problems". Math. Program. 159(1-2): 557-569 (2016) - [j22]Grani Adiwena Hanasusanto, Daniel Kuhn, Wolfram Wiesemann:
K-adaptability in two-stage distributionally robust binary programming. Oper. Res. Lett. 44(1): 6-11 (2016) - [j21]Bart P. G. Van Parys, Daniel Kuhn, Paul J. Goulart, Manfred Morari:
Distributionally Robust Control of Constrained Stochastic Systems. IEEE Trans. Autom. Control. 61(2): 430-442 (2016) - 2015
- [j20]Grani Adiwena Hanasusanto, Daniel Kuhn, Wolfram Wiesemann:
K-Adaptability in Two-Stage Robust Binary Programming. Oper. Res. 63(4): 877-891 (2015) - [j19]Eli Gutin, Daniel Kuhn, Wolfram Wiesemann:
Interdiction Games on Markovian PERT Networks. Manag. Sci. 61(5): 999-1017 (2015) - [j18]Grani Adiwena Hanasusanto, Vladimir Roitch, Daniel Kuhn, Wolfram Wiesemann:
A distributionally robust perspective on uncertainty quantification and chance constrained programming. Math. Program. 151(1): 35-62 (2015) - [j17]Grani Adiwena Hanasusanto, Daniel Kuhn, Stein W. Wallace, Steve Zymler:
Distributionally robust multi-item newsvendor problems with multimodal demand distributions. Math. Program. 152(1-2): 1-32 (2015) - [j16]Angelos Georghiou, Wolfram Wiesemann, Daniel Kuhn:
Generalized decision rule approximations for stochastic programming via liftings. Math. Program. 152(1-2): 301-338 (2015) - [j15]Giorgio Consigli, Paolo Brandimarte, Daniel Kuhn:
Financial Optimization: optimization paradigms and financial planning under uncertainty. OR Spectr. 37(3): 553-557 (2015) - [c7]Soroosh Shafieezadeh-Abadeh, Peyman Mohajerin Esfahani, Daniel Kuhn:
Distributionally Robust Logistic Regression. NIPS 2015: 1576-1584 - 2014
- [j14]Wolfram Wiesemann, Daniel Kuhn, Melvyn Sim:
Distributionally Robust Convex Optimization. Oper. Res. 62(6): 1358-1376 (2014) - 2013
- [j13]Simon A. Spacey, Wayne Luk, Daniel Kuhn, Paul H. J. Kelly:
Parallel partitioning for distributed systems using sequential assignment. J. Parallel Distributed Comput. 73(2): 207-219 (2013) - [j12]Steve Zymler, Daniel Kuhn, Berç Rustem:
Worst-Case Value at Risk of Nonlinear Portfolios. Manag. Sci. 59(1): 172-188 (2013) - [j11]Wolfram Wiesemann, Daniel Kuhn, Berç Rustem:
Robust Markov Decision Processes. Math. Oper. Res. 38(1): 153-183 (2013) - [j10]Steve Zymler, Daniel Kuhn, Berç Rustem:
Distributionally robust joint chance constraints with second-order moment information. Math. Program. 137(1-2): 167-198 (2013) - [c6]Grani Adiwena Hanasusanto, Daniel Kuhn:
Robust Data-Driven Dynamic Programming. NIPS 2013: 827-835 - 2012
- [j9]Wolfram Wiesemann, Daniel Kuhn, Berç Rustem:
Multi-resource allocation in stochastic project scheduling. Ann. Oper. Res. 193(1): 193-220 (2012) - [j8]Phebe Vayanos, Daniel Kuhn, Berç Rustem:
A constraint sampling approach for multi-stage robust optimization. Autom. 48(3): 459-471 (2012) - [j7]Simon A. Spacey, Wolfram Wiesemann, Daniel Kuhn, Wayne Luk:
Robust Software Partitioning with Multiple Instantiation. INFORMS J. Comput. 24(3): 500-515 (2012) - [j6]Simon A. Spacey, Wayne Luk, Paul H. J. Kelly, Daniel Kuhn:
Improving communication latency with the write-only architecture. J. Parallel Distributed Comput. 72(12): 1617-1627 (2012) - [j5]Wolfram Wiesemann, Daniel Kuhn, Berç Rustem:
Robust resource allocations in temporal networks. Math. Program. 135(1-2): 437-471 (2012) - [c5]Christos Gavriel, Grani Adiwena Hanasusanto, Daniel Kuhn:
Risk-averse shortest path problems. CDC 2012: 2533-2538 - 2011
- [j4]Steve Zymler, Berç Rustem, Daniel Kuhn:
Robust portfolio optimization with derivative insurance guarantees. Eur. J. Oper. Res. 210(2): 410-424 (2011) - [j3]Daniel Kuhn, Wolfram Wiesemann, Angelos Georghiou:
Primal and dual linear decision rules in stochastic and robust optimization. Math. Program. 130(1): 177-209 (2011) - [c4]Phebe Vayanos, Daniel Kuhn, Berç Rustem:
Decision rules for information discovery in multi-stage stochastic programming. CDC/ECC 2011: 7368-7373 - [c3]Evangelia Kalyvianaki, Wolfram Wiesemann, Quang Hieu Vu, Daniel Kuhn, Peter R. Pietzuch:
SQPR: Stream query planning with reuse. ICDE 2011: 840-851 - 2010
- [j2]Wolfram Wiesemann, Daniel Kuhn, Berç Rustem:
Maximizing the net present value of a project under uncertainty. Eur. J. Oper. Res. 202(2): 356-367 (2010) - [c2]Fook Wai Kong, Daniel Kuhn, Berç Rustem:
A cutting-plane method for Mixed-Logical Semidefinite Programs with an application to multi-vehicle robust path planning. CDC 2010: 1360-1365
2000 – 2009
- 2008
- [j1]Daniel Kuhn, Panos Parpas, Berç Rustem:
Bound-based decision rules in multistage stochastic programming. Kybernetika 44(2): 134-150 (2008) - [c1]Wolfram Wiesemann, Ronald Hochreiter, Daniel Kuhn:
A Stochastic Programming Approach for QoS-Aware Service Composition. CCGRID 2008: 226-233
Coauthor Index
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