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DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee.

, , , , , and . CoRR, (2023)

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A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments., , , , , , , , and . AAAI, page 11160-11167. AAAI Press, (2021)On Representing Mixed-Integer Linear Programs by Graph Neural Networks., , , and . ICLR, OpenReview.net, (2023)HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent., , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 10732-10781. PMLR, (2023)Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs., , , , and . CoRR, (2024)Provably Near-Optimal Balancing Policies for Multi-Echelon Stochastic Inventory Control Models., , , and . Math. Oper. Res., 42 (1): 256-276 (2017)On Representing Linear Programs by Graph Neural Networks., , , , and . CoRR, (2022)DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee., , , , , and . CoRR, (2023)Inventory Balancing with Online Learning., , , and . CoRR, (2018)Conservative Exploration for Semi-Bandits with Linear Generalization: A Product Selection Problem for Urban Warehouses., , , , and . CoRR, (2019)The Lingering of Gradients: How to Reuse Gradients Over Time., , and . NeurIPS, page 1252-1261. (2018)