combinatorial optimization

Exploratory Combinatorial Optimization with Reinforcement Learning AAAI 2020 Fair Division: The Computer Scientist’s Perspective IJCAI 2020 Feature Importance Ranking for Deep Learning NeurIPS 2020 Finding Minimum-Weight Link-Disjoint Paths with a Few Common Nodes AAAI 2020 First-Order Bayesian Regret Analysis of Thompson Sampling ALT 2020 GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs NeurIPS 2020 Generalized and Scalable Optimal Sparse Decision Trees ICML 2020 Generating Weighted MAX-2-SAT Instances with Frustrated Loops: an RBM Case Study JMLR 2020 Global Optimality for Point Set Registration Using Semidefinite Programming CVPR 2020 GOBNILP: Learning Bayesian network structure with integer programming PGM 2020 Gradient Estimation with Stochastic Softmax Tricks NeurIPS 2020 Graph Neural Networks Meet Neural-Symbolic Computing: A Survey and Perspective IJCAI 2020 Hard Examples for Common Variable Decision Heuristics AAAI 2020 Harmless Overfitting: Using Denoising Autoencoders in Estimation of Distribution Algorithms JMLR 2020 Hierarchical Clustering: A 0.585 Revenue Approximation COLT 2020 Improving Policy-Constrained Kidney Exchange via Pre-Screening NeurIPS 2020 Incremental Sampling Without Replacement for Sequence Models ICML 2020 Justifying All Differences Using Pseudo-Boolean Reasoning AAAI 2020 Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization AISTATS 2020 Kidney Exchange with Inhomogeneous Edge Existence Uncertainty UAI 2020 Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach EMNLP 2020 Learning 2-opt Heuristics for the Traveling Salesman Problem via Deep Reinforcement Learning ACML 2020 Learning Combinatorial Solver for Graph Matching CVPR 2020 Learning decomposable models by coarsening PGM 2020 Learning for Graph Matching and Related Combinatorial Optimization Problems IJCAI 2020