combinatorial optimization

Parallel Beam Search Algorithms for Domain-Independent Dynamic Programming AAAI 2024 Parameterization of (Partial) Maximum Satisfiability above Matching in a Variable-Clause Graph AAAI 2024 Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems ICML 2024 Practical $0.385$-Approximation for Submodular Maximization Subject to a Cardinality Constraint NeurIPS 2024 Random Subgraph Detection Using Queries JMLR 2024 ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution NeurIPS 2024 ReinforceNS: Reinforcement Learning-based Multi-start Neighborhood Search for Solving the Traveling Thief Problem IJCAI 2024 Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework ICLR 2024 Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz NeurIPS 2024 Rethinking the Soft Conflict Pseudo Boolean Constraint on MaxSAT Local Search Solvers IJCAI 2024 Rethinking Word-level Adversarial Attack: The Trade-off between Efficiency, Effectiveness, and Imperceptibility COLING 2024 Robust Reward Placement under Uncertainty IJCAI 2024 Self-Labeling the Job Shop Scheduling Problem NeurIPS 2024 SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization NeurIPS 2024 Several Stories about High-Multiplicity EFx Allocation (Student Abstract) AAAI 2024 Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover NeurIPS 2024 SmartTransit.AI: A Dynamic Paratransit and Microtransit Application IJCAI 2024 Stable Matchings in Practice: A Constraint Programming Approach AAAI 2024 Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm NeurIPS 2024 Strategic Aspects of Stable Matching Markets: A Survey IJCAI 2024 Submodular Minimax Optimization: Finding Effective Sets AISTATS 2024 SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization NeurIPS 2024 Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization ICML 2024 Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving AAAI 2024 Theoretical Aspects of Generating Instances with Unique Solutions: Pre-assignment Models for Unique Vertex Cover AAAI 2024