combinatorial optimization

CEGAR-Based Approach for Solving Combinatorial Optimization Modulo Quantified Linear Arithmetics Problems AAAI 2024 Challenges of Generating Structurally Diverse Graphs NeurIPS 2024 Clustering with Non-adaptive Subset Queries NeurIPS 2024 Coalition Formation for Task Allocation Using Multiple Distance Metrics (Student Abstract) AAAI 2024 COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems AAAI 2024 Combinatorial Stochastic-Greedy Bandit AAAI 2024 Comparing Ways of Obtaining Candidate Orderings from Approval Ballots IJCAI 2024 Controlling Continuous Relaxation for Combinatorial Optimization NeurIPS 2024 Couples Can Be Tractable: New Algorithms and Hardness Results for the Hospitals/Residents Problem with Couples IJCAI 2024 Deep Reinforcement Learning for Modelling Protein Complexes ICLR 2024 Deep Submodular Peripteral Networks NeurIPS 2024 Delegation-Relegation for Boolean Matrix Factorization AAAI 2024 Deletion-Robust Submodular Maximization with Knapsack Constraints AAAI 2024 Differentially Private Decentralized Learning with Random Walks ICML 2024 Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching AAAI 2024 DistrictNet: Decision-aware learning for geographical districting NeurIPS 2024 DOGE-Train: Discrete Optimization on GPU with End-to-End Training AAAI 2024 Efficient Combinatorial Optimization via Heat Diffusion NeurIPS 2024 Efficient Constrained K-center Clustering with Background Knowledge AAAI 2024 Efficient Correlated Subgraph Searches for AI-powered Drug Discovery IJCAI 2024 Efficient Dependency Tree Sampling Without Replacement NAACL 2024 Enhance Diversified Top-k MaxSAT Solving by Incorporating New Strategy for Generating Diversified Initial Assignments (Student Abstract) AAAI 2024 EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization AAAI 2024 Ensemble Pruning for Out-of-distribution Generalization ICML 2024 EPVerifier: Accelerating Update Storms Verification with Edge-Predicate NSDI 2024