constraint optimization

HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-Based Inference AAAI 2020 On the Role of Sparsity and DAG Constraints for Learning Linear DAGs NeurIPS 2020 Regularized Graph Matching for Correspondence Identification under Uncertainty in Collaborative Perception RSS 2020 Responsive Safety in Reinforcement Learning by PID Lagrangian Methods ICML 2020 A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique AAAI 2019 AsymDPOP: Complete Inference for Asymmetric Distributed Constraint Optimization Problems IJCAI 2019 Constraint Solving and Optimization Using Evolutionary Techniques IJCAI 2019 Learning Relational Representations with Auto-encoding Logic Programs IJCAI 2019 Multi-Context System for Optimization Problems AAAI 2019 Optimizing Constraint Solving via Dynamic Programming IJCAI 2019 Ultrametric Fitting by Gradient Descent NeurIPS 2019 A COP Model for Graph-Constrained Coalition Formation (Extended Abstract) IJCAI 2018 Advances and Challenges in Privacy Preserving Planning IJCAI 2018 Efficient Computation of Implicational Universals in Constraint-Based Phonology Through the Hyperplane Separation Theorem EMNLP 2018 Improving Knowledge Graph Embedding Using Simple Constraints ACL 2018 Towards Improving the Expressivity and Scalability of Distributed Constraint Optimization Problems IJCAI 2018 Anti-Glare: Tightly Constrained Optimization for Eyeglass Reflection Removal CVPR 2017 Label Filters for Large Scale Multilabel Classification AISTATS 2017 Post-Processing Techniques for Improving Predictions of Multilabel Learning Approaches IJCNLP 2017 Causal Discovery from Subsampled Time Series Data by Constraint Optimization PGM 2016 Gaze-Enabled Egocentric Video Summarization via Constrained Submodular Maximization CVPR 2015 Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning NeurIPS 2014 Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning ACML 2013