conftrace_

combinatorial optimization

1,103 papers

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CO

Co-occurring keywords · papers mentioning both

approximation algorithm (134) graph neural network (59) reinforcement learning (52) multi-armed bandit (49) neural network (49) regret bound (48) graph algorithm (45) submodular optimization (43) traveling salesman problem (40) graph theory (38)

Papers

Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model ICML 2024 Exact ASP Counting with Compact Encodings AAAI 2024 Exactly Solving Minimum Dominating Set and Its Generalization IJCAI 2024 Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems AISTATS 2024 Facility Location Problems with Capacity Constraints: Two Facilities and Beyond IJCAI 2024 Fair and Welfare-Efficient Constrained Multi-Matchings under Uncertainty NeurIPS 2024 Fairness in Submodular Maximization over a Matroid Constraint AISTATS 2024 FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning AISTATS 2024 Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization NeurIPS 2024 Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users AAAI 2024 Fewer Truncations Improve Language Modeling ICML 2024 Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search IJCAI 2024 Fixed-Budget Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit AISTATS 2024 Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts NeurIPS 2024 How to Make Knockout Tournaments More Popular? AAAI 2024 ILP-FORMER: Solving Integer Linear Programming with Sequence to Multi-Label Learning UAI 2024 Improved Approximation Algorithms for Capacitated Location Routing IJCAI 2024 Improved Parallel Algorithm for Non-Monotone Submodular Maximization under Knapsack Constraint IJCAI 2024 Intertwining CP and NLP: The Generation of Unreasonably Constrained Sentences IJCAI 2024 Learning-Augmented Approximation Algorithms for Maximum Cut and Related Problems NeurIPS 2024 Learning to Build Solutions in Stochastic Matching Problems Using Flows (Student Abstract) AAAI 2024 Learning to Remove Cuts in Integer Linear Programming ICML 2024 Learning to solve Class-Constrained Bin Packing Problems via Encoder-Decoder Model ICLR 2024 Learning to Solve Quadratic Unconstrained Binary Optimization in a Classification Way NeurIPS 2024 Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training Dataset ICLR 2024