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combinatorial optimization

1039 papers

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Also known as

CUCB COP CO

Co-occurring keywords

approximation algorithm (630) graph neural network (3945) multi-armed bandit (1091) regret bound (1918) graph algorithm (177) neural network (6616) reinforcement learning (4122) submodular optimization (261) graph theory (249) discrete optimization (145)

Papers

Quant-BnB: A Scalable Branch-and-Bound Method for Optimal Decision Trees with Continuous Features ICML 2022
Using Partial Monotonicity in Submodular Maximization NIPS 2022
Learning Large DAGs by Combining Continuous Optimization and Feedback Arc Set Heuristics AAAI 2022
Planning with Explanations for Finding Desired Meeting Points on Graphs AAAI 2022
Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize NIPS 2022
DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems NIPS 2022
Finding Optimal Arms in Non-stochastic Combinatorial Bandits with Semi-bandit Feedback and Finite Budget NIPS 2022
Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation NIPS 2022
Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection NIPS 2022
Faster and Scalable Algorithms for Densest Subgraph and Decomposition NIPS 2022
Scalable and Efficient Non-adaptive Deterministic Group Testing NIPS 2022
Integer and Constraint Programming Revisited for Mutually Orthogonal Latin Squares (Student Abstract) AAAI 2022
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions NIPS 2022
An Algorithmic Theory of Markets and Their Application to Decentralized Markets AAAI 2022
Graph Edit Distance Learning via Modeling Optimum Matchings with Constraints IJCAI 2021
Combinatorial Optimization and Reasoning with Graph Neural Networks IJCAI 2021
Reformulating DOVER-Lap Label Mapping as a Graph Partitioning Problem INTERSPEECH 2021
Learning Collaborative Policies to Solve NP-hard Routing Problems NIPS 2021
Learning Branching Heuristics for Propositional Model Counting AAAI 2021
Structured Convolutional Kernel Networks for Airline Crew Scheduling ICML 2021
Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning ICML 2021
Efficient Message Passing for 0–1 ILPs with Binary Decision Diagrams ICML 2021
Local Correlation Clustering with Asymmetric Classification Errors ICML 2021
The Power of Adaptivity for Stochastic Submodular Cover ICML 2021
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces NIPS 2021