combinatorial optimization

Fine-Grained Search Space Classification for Hard Enumeration Variants of Subset Problems AAAI 2019 Generalized Distance Bribery AAAI 2019 Generative Adversarial User Model for Reinforcement Learning Based Recommendation System ICML 2019 Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints AAAI 2019 Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature Selection and Feature Extraction AAAI 2019 Improved Regret Bounds for Bandit Combinatorial Optimization NeurIPS 2019 Improving Optimization Bounds Using Machine Learning: Decision Diagrams Meet Deep Reinforcement Learning AAAI 2019 Integrating Pseudo-Boolean Constraint Reasoning in Multi-Objective Evolutionary Algorithms IJCAI 2019 Interlaced Greedy Algorithm for Maximization of Submodular Functions in Nearly Linear Time NeurIPS 2019 K-Core Maximization: An Edge Addition Approach IJCAI 2019 KerGM: Kernelized Graph Matching NeurIPS 2019 Learning Optimal Classification Trees Using a Binary Linear Program Formulation AAAI 2019 Learning to Order Graph Elements with Application to Multilingual Surface Realization EMNLP 2019 Learning to Perform Local Rewriting for Combinatorial Optimization NeurIPS 2019 Learning to Screen NeurIPS 2019 Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP AAAI 2019 Long-Distance Dependencies Don’t Have to Be Long: Simplifying through Provably (Approximately) Optimal Permutations ACL 2019 Low-Rank Semidefinite Programming for the MAX2SAT Problem AAAI 2019 Making the Cut: A Bandit-based Approach to Tiered Interviewing NeurIPS 2019 Matching with Constraints IJCAI 2019 Matroid Constrained Fair Allocation Problem AAAI 2019 MaxHedge: Maximizing a Maximum Online AISTATS 2019 Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization AAAI 2019 Minimizing Time-to-Rank: A Learning and Recommendation Approach IJCAI 2019 On the Problem of Assigning PhD Grants IJCAI 2019