branch and bound

Ddo, a Generic and Efficient Framework for MDD-Based Optimization IJCAI 2020 Globally Optimal Contrast Maximisation for Event-Based Motion Estimation CVPR 2020 Hybrid Models for Learning to Branch NeurIPS 2020 k-SDPP: Fixed-Size Video Summarization via Sequential Determinantal Point Processes IJCAI 2020 Neural Network Branching for Neural Network Verification ICLR 2020 Reinforcement Learning for Integer Programming: Learning to Cut ICML 2020 A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique AAAI 2019 Anytime Recursive Best-First Search for Bounding Marginal MAP AAAI 2019 A Privacy Preserving Collusion Secure DCOP Algorithm IJCAI 2019 Counting the Optimal Solutions in Graphical Models NeurIPS 2019 Exact Combinatorial Optimization with Graph Convolutional Neural Networks NeurIPS 2019 Linearly Converging Quasi Branch and Bound Algorithms for Global Rigid Registration ICCV 2019 Quasi-Perfect Stackelberg Equilibrium AAAI 2019 The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation CVPR 2019 BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning CVPR 2018 Conflict Directed Clause Learning for Maximum Weighted Clique Problem IJCAI 2018 Consensus Maximization for Semantic Region Correspondences CVPR 2018 Designing the Game to Play: Optimizing Payoff Structure in Security Games IJCAI 2018 Globally Optimal Inlier Set Maximization for Atlanta Frame Estimation CVPR 2018 Learning to Branch ICML 2018 A Partitioning Algorithm for Maximum Common Subgraph Problems IJCAI 2017 Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures CVPR 2017 Estimating the size of search trees by sampling with domain knowledge IJCAI 2017 Learning Chordal Markov Networks via Branch and Bound NeurIPS 2017 Learning to Run Heuristics in Tree Search IJCAI 2017