Combinatorial Optimization

Constraint-aware Pareto Optimization for Tree-Structured Networks: Addressing Decarbonization Targets with Hydropower Expansion AAAI 2025 Correlation Clustering Beyond the Pivot Algorithm ICML 2025 DCILP: A Distributed Approach for Large-Scale Causal Structure Learning AAAI 2025 Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian Network AAAI 2025 Decouple and Decompose: Scaling Resource Allocation with DeDe OSDI 2025 Decoupled Search for the Masses: A Novel Task Transformation for Classical Planning (Extended Abstract) IJCAI 2025 Deep Clustering via Probabilistic Ratio-Cut Optimization AISTATS 2025 Deep Generative Model for Mechanical System Configuration Design AAAI 2025 Deletion Robust Non-Monotone Submodular Maximization over Matroids JMLR 2025 Densest k-Subgraph Mining via a Provably Tight Relaxation AAAI 2025 Density-Dependent Group Testing AISTATS 2025 Dependent Randomized Rounding for Budget Constrained Experimental Design UAI 2025 Destroy and Repair Using Hyper-Graphs for Routing AAAI 2025 DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning IJCAI 2025 Differentiable Structure Learning with Ancestral Constraints ICML 2025 DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation AAAI 2025 Discrepancy Minimization in Input-Sparsity Time ICML 2025 Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies ICML 2025 Distance Preservation Games IJCAI 2025 DiverSAT: A Novel and Effective Local Search Algorithm for Diverse SAT Problem AAAI 2025 Dividing Conflicting Items Fairly IJCAI 2025 Don’t Restart, Just Reuse: Reoptimizing MILPs with Dynamic Parameters ICML 2025 DPFL: Decentralized Personalized Federated Learning AISTATS 2025 DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem AAAI 2025 Dynamic Network Discovery via Infection Tracing IJCAI 2025