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On efficient Hessian computation using the edge pushing algorithm in Julia.

, , , and . Optim. Methods Softw., 33 (4-6): 1010-1029 (2018)

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The Machine Learning for Combinatorial Optimization Competition (ML4CO): Results and Insights., , , , , , , , , and 32 other author(s). NeurIPS (Competition and Demos), volume 176 of Proceedings of Machine Learning Research, page 220-231. PMLR, (2021)Extended Formulations in Mixed-Integer Convex Programming., , , and . IPCO, volume 9682 of Lecture Notes in Computer Science, page 102-113. Springer, (2016)On efficient Hessian computation using the edge pushing algorithm in Julia., , , and . Optim. Methods Softw., 33 (4-6): 1010-1029 (2018)Reinforced Genetic Algorithm Learning for Optimizing Computation Graphs., , , , , , and . ICLR, OpenReview.net, (2020)Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls., , , , , , , and . NeurIPS, page 8691-8701. (2021)Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient., , , , , , and . NeurIPS, page 20243-20257. (2021)Mixed-Integer Convex Representability., , and . IPCO, volume 10328 of Lecture Notes in Computer Science, page 392-404. Springer, (2017)REGAL: Transfer Learning For Fast Optimization of Computation Graphs., , , , , , and . CoRR, (2019)Infeasibility Detection with Primal-Dual Hybrid Gradient for Large-Scale Linear Programming., , , and . SIAM J. Optim., 34 (1): 459-484 (March 2024)MathOptInterface: A Data Structure for Mathematical Optimization Problems., , , and . INFORMS J. Comput., 34 (2): 672-689 (2022)