Combinatorial Optimization

Learning large Bayesian networks with expert constraints UAI 2022 Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics AAAI 2022 Learning Low Degree Hypergraphs COLT 2022 Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning NeurIPS 2022 Learning to Branch with Tree MDPs NeurIPS 2022 Learning to Compare Nodes in Branch and Bound with Graph Neural Networks NeurIPS 2022 Learning To Solve Hard Minimal Problems CVPR 2022 LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking CVPR 2022 Lower Bounds on Intermediate Results in Bottom-Up Knowledge Compilation AAAI 2022 Ludus: An Optimization Framework to Balance Auto Battler Cards AAAI 2022 MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search AAAI 2022 Massively Parallel k-Means Clustering for Perturbation Resilient Instances ICML 2022 Matching in Multi-arm Bandit with Collision NeurIPS 2022 Matching Market Design with Constraints AAAI 2022 Maximizing Nash Social Welfare in 2-Value Instances AAAI 2022 Maximum n-times Coverage for Vaccine Design ICLR 2022 Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits NeurIPS 2022 Minimax Optimization: The Case of Convex-Submodular AISTATS 2022 Minimum Cost Intervention Design for Causal Effect Identification ICML 2022 MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers AAAI 2022 Multi-robot Task Allocation in the Environment with Functional Tasks IJCAI 2022 MurTree: Optimal Decision Trees via Dynamic Programming and Search JMLR 2022 Near optimal efficient decoding from pooled data COLT 2022 Near-Tight Algorithms for the Chamberlin-Courant and Thiele Voting Rules IJCAI 2022 Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection NeurIPS 2022