mixed integer linear program

BURNS: Backward Underapproximate Reachability for Neural-Feedback-Loop Systems L4DC 2026 Commitment to Sparse Strategies in Two-Player Games AAAI 2025 Exact Certification of (Graph) Neural Networks Against Label Poisoning ICLR 2025 Inverse Optimization via Learning Feasible Regions ICML 2025 SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch AAAI 2025 Conformal Prediction Regions for Time Series Using Linear Complementarity Programming AAAI 2024 Contrastive Predict-and-Search for Mixed Integer Linear Programs ICML 2024 Layered Graph Security Games IJCAI 2024 Learning Generalized Linear Programming Value Functions NeurIPS 2024 Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs NeurIPS 2024 Predicting Lagrangian Multipliers for Mixed Integer Linear Programs ICML 2024 Rethinking the Capacity of Graph Neural Networks for Branching Strategy NeurIPS 2024 A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability NeurIPS 2023 Two-Stage Predict+Optimize for MILPs with Unknown Parameters in Constraints NeurIPS 2023 A Hybrid Evolutionary Algorithm for the Diversified Top-k Weight Clique Search Problem (Student Abstract) AAAI 2022 POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging ICML 2022 Binary Matrix Factorisation via Column Generation AAAI 2021 MIPaaL: Mixed Integer Program as a Layer AAAI 2020 Representative Solutions for Bi-Objective Optimisation AAAI 2020 Two Reformulation Approaches to Maximum-A-Posteriori Inference in Sum-Product Networks PGM 2020 Uncertain multi-agent MILPs: A data-driven decentralized solution with probabilistic feasibility guarantees L4DC 2020 Exact Combinatorial Optimization with Graph Convolutional Neural Networks NeurIPS 2019 Designing the Game to Play: Optimizing Payoff Structure in Security Games IJCAI 2018 Inverse Filtering for Hidden Markov Models NeurIPS 2017 Assortment Optimization Under the Mallows model NeurIPS 2016