linear programming

Learning to Generate Projections for Reducing Dimensionality of Heterogeneous Linear Programming Problems ICML 2025 LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch ICLR 2025 Logarithmic Approximations for Fair k-Set Selection IJCAI 2025 LP-Based Weighted Model Integration over Non-Linear Real Arithmetic IJCAI 2025 Optimising Spatial Teamwork Under Uncertainty AAAI 2025 Scalable Knowledge Refactoring Using Constrained Optimisation AAAI 2025 Settling the Maximin Share Fairness for Scheduling among Groups of Machines ICML 2025 Solving Robust Markov Decision Processes: Generic, Reliable, Efficient AAAI 2025 The Core of Approval-Based Committee Elections with Few Seats IJCAI 2025 Towards Explaining the Power of Constant-depth Graph Neural Networks for Structured Linear Programming ICLR 2025 Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification JMLR 2025 A 4-Approximation Algorithm for Min Max Correlation Clustering AISTATS 2024 Achieving Õ(1/ε) Sample Complexity for Constrained Markov Decision Process NeurIPS 2024 An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification JMLR 2024 Approximation Scheme for Weighted Metric Clustering via Sherali-Adams AAAI 2024 A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation AAAI 2024 A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback ICML 2024 Data driven verification of positive invariant sets for discrete, nonlinear systems L4DC 2024 Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions NeurIPS 2024 Design a Win-Win Strategy That Is Fair to Both Service Providers and Tasks When Rejection Is Not an Option IJCAI 2024 Differentiable Combinatorial Scheduling at Scale ICML 2024 Efficient Constrained K-center Clustering with Background Knowledge AAAI 2024 Enhancing Scalability of Metric Differential Privacy via Secret Dataset Partitioning and Benders Decomposition IJCAI 2024 Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems AISTATS 2024 Generalization Bound and Learning Methods for Data-Driven Projections in Linear Programming NeurIPS 2024