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- Daniel Bienstock
aka: Dan Bienstock
Columbia University, New York City, USA
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Publication search results
found 107 matches
- 2023
- Daniel Bienstock, Gonzalo Muñoz, Sebastian Pokutta:
Principled deep neural network training through linear programming. Discret. Optim. 49: 100795 (2023) - Yasmine Beck, Daniel Bienstock, Martin Schmidt, Johannes Thürauf:
On a Computationally Ill-Behaved Bilevel Problem with a Continuous and Nonconvex Lower Level. J. Optim. Theory Appl. 198(1): 428-447 (2023) - Daniel Bienstock, Alberto Del Pia, Robert Hildebrand:
Complexity, exactness, and rationality in polynomial optimization. Math. Program. 197(2): 661-692 (2023) - Alexander Bienstock, Daniel Escudero, Antigoni Polychroniadou:
On Linear Communication Complexity for (Maximally) Fluid MPC. CRYPTO (1) 2023: 263-294 - Robert Ferrando, Laurent Pagnier, Robert Mieth, Zhirui Liang, Yury Dvorkin, Daniel Bienstock, Michael Chertkov:
A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study. CoRR abs/2304.00062 (2023) - Alexander Bienstock, Daniel Escudero, Antigoni Polychroniadou:
On Linear Communication Complexity for (Maximally) Fluid MPC. IACR Cryptol. ePrint Arch. 2023: 839 (2023) - 2022
- Daniel Bienstock, Mauro Escobar, Claudio Gentile, Leo Liberti:
Mathematical programming formulations for the alternating current optimal power flow problem. Ann. Oper. Res. 314(1): 277-315 (2022) - Daniel Bienstock, Yuri Faenza, Igor Malinovic, Monaldo Mastrolilli, Ola Svensson, Mark Zuckerberg:
On inequalities with bounded coefficients and pitch for the min knapsack polytope. Discret. Optim. 44(Part): 100567 (2022) - Daniel Bienstock, Giacomo Zambelli:
Special Issue: Integer Programming and Combinatorial Optimization (IPCO) 2020. Math. Program. 192(1): 1-2 (2022) - Daniel Bienstock, Minchan Jeong, Apurv Shukla, Se-Young Yun:
Robust Streaming PCA. NeurIPS 2022 - 2021
- Daniel Bienstock, Yuri Faenza, Xuan Zhang:
Pitch, extension complexity, and covering problems. Oper. Res. Lett. 49(3): 357-364 (2021) - Daniel Bienstock, Alberto Del Pia, Robert Hildebrand:
Complexity, Exactness, and Rationality in Polynomial Optimization. IPCO 2021: 58-72 - Andreas M. Tillmann, Daniel Bienstock, Andrea Lodi, Alexandra Schwartz:
Cardinality Minimization, Constraints, and Regularization: A Survey. CoRR abs/2106.09606 (2021) - 2020
- Dan Bienstock, Mauro Escobar, Claudio Gentile, Leo Liberti:
Mathematical programming formulations for the alternating current optimal power flow problem. 4OR 18(3): 249-292 (2020) - Daniel Bienstock, Chen Chen, Gonzalo Muñoz:
Outer-product-free sets for polynomial optimization and oracle-based cuts. Math. Program. 183(1): 105-148 (2020) - Daniel Bienstock, Giacomo Nannicini:
Special issue forward: the 2018 Mixed Integer Programming workshop. Math. Program. Comput. 12(2): 131 (2020) - Daniel Bienstock, Mauro Escobar:
Stochastic Defense Against Complex Grid Attacks. IEEE Trans. Control. Netw. Syst. 7(2): 842-854 (2020) - Daniel Bienstock, Giacomo Zambelli:
Integer Programming and Combinatorial Optimization - 21st International Conference, IPCO 2020, London, UK, June 8-10, 2020, Proceedings. Lecture Notes in Computer Science 12125, Springer 2020, ISBN 978-3-030-45770-9 [contents] - 2019
- Daniel Bienstock, Abhinav Verma:
Strong NP-hardness of AC power flows feasibility. Oper. Res. Lett. 47(6): 494-501 (2019) - Daniel Bienstock, Apurv Shukla:
Variance-Aware Optimal Power Flow: Addressing the Tradeoff Between Cost, Security, and Variability. IEEE Trans. Control. Netw. Syst. 6(3): 1185-1196 (2019) - Kaarthik Sundar, Harsha Nagarajan, Line Roald, Sidhant Misra, Russell Bent, Daniel Bienstock:
Chance-Constrained Unit Commitment With N-1 Security and Wind Uncertainty. IEEE Trans. Control. Netw. Syst. 6(3): 1062-1074 (2019) - Daniel Bienstock, Chen Chen, Gonzalo Muñoz:
Intersection Cuts for Polynomial Optimization. IPCO 2019: 72-87 - Daniel Bienstock, Apurv Shukla, Seyoung Yun:
Non-Stationary Streaming PCA. CoRR abs/1902.03223 (2019) - 2018
- Gonzalo Muñoz, Daniel G. Espinoza, Marcos Goycoolea, Eduardo Moreno, Maurice Queyranne, Orlando Rivera Letelier:
A study of the Bienstock-Zuckerberg algorithm: applications in mining and resource constrained project scheduling. Comput. Optim. Appl. 69(2): 501-534 (2018) - Daniel Bienstock, Gonzalo Muñoz:
LP Formulations for Polynomial Optimization Problems. SIAM J. Optim. 28(2): 1121-1150 (2018) - Daniel Bienstock, Gonzalo Muñoz, Sebastian Pokutta:
Principled Deep Neural Network Training through Linear Programming. CoRR abs/1810.03218 (2018) - 2017
- Daniel Bienstock, Mauro Escobar:
Computing undetectable attacks on power grids. SIGMETRICS Perform. Evaluation Rev. 45(2): 115-118 (2017) - Daniel Bienstock, Gonzalo Muñoz, Shuoguang Yang, Carsten Matke:
Robust linear control of storage in transmission systems, and extensions to robust network control problems. CDC 2017: 799-806 - Kaarthik Sundar, Harsha Nagarajan, Line Roald, Sidhant Misra, Russell Bent, Daniel Bienstock:
A Modified Benders Decomposition for Chance-Constrained Unit Commitment with N-1 Security and Wind Uncertainty. CoRR abs/1703.05206 (2017) - 2016
- Daniel Bienstock:
Electrical transmission system cascades and vulnerability - an operations research viewpoint. MOS-SIAM Series on Optimization 22, SIAM 2016, ISBN 978-1-611-97415-7, pp. 1-294
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