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Combinatorial Optimization

2407 directly classified papers

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Papers

Exploratory Combinatorial Optimization with Reinforcement Learning AAAI 2020
Scalable Bayesian Network Structure Learning via Maximum Acyclic Subgraph PGM 2020
Reinforcement Learning for Integer Programming: Learning to Cut ICML 2020
A General Large Neighborhood Search Framework for Solving Integer Linear Programs NIPS 2020
GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs NIPS 2020
Content Provider Dynamics and Coordination in Recommendation Ecosystems NIPS 2020
Fairness in Streaming Submodular Maximization: Algorithms and Hardness NIPS 2020
Fully Dynamic Algorithm for Constrained Submodular Optimization NIPS 2020
A Novel Approach for Constrained Optimization in Graphical Models NIPS 2020
An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits NIPS 2020
Dynamic Submodular Maximization NIPS 2020
Predicting Propositional Satisfiability via End-to-End Learning AAAI 2020
Sparse Layered Graphs for Multi-Object Segmentation CVPR 2020
Semantic Width and the Fixed-Parameter Tractability of Constraint Satisfaction Problems IJCAI 2020
Tiramisu: Fast Multilayer Network Verification NSDI 2020
Taming Discrete Integration via the Boon of Dimensionality NIPS 2020
Robust Multi-Object Matching via Iterative Reweighting of the Graph Connection Laplacian NIPS 2020
Robust Sequence Submodular Maximization NIPS 2020
Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint NIPS 2020
Hybrid Models for Learning to Branch NIPS 2020
Automatic Synthesis of Generalized Winning Strategies of Impartial Combinatorial Games Using SMT Solvers IJCAI 2020
Improved Algorithms for Online Submodular Maximization via First-order Regret Bounds NIPS 2020
Dual Iterative Hard Thresholding JMLR 2020
The Adaptive Complexity of Maximizing a Gross Substitutes Valuation NIPS 2020
Word-level Textual Adversarial Attacking as Combinatorial Optimization ACL 2020