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Discrete Optimization

705 directly classified papers

Papers per year

Papers

On Neighborhood Singleton Consistencies IJCAI 2017
Efficient Weighted Model Integration via SMT-Based Predicate Abstraction IJCAI 2017
On the Kernelization of Global Constraints IJCAI 2017
Computing an Approximately Optimal Agreeable Set of Items IJCAI 2017
Constraint-Based Symmetry Detection in General Game Playing IJCAI 2017
Differentially Private Submodular Maximization: Data Summarization in Disguise ICML 2017
An Exact Penalty Method for Locally Convergent Maximum Consensus CVPR 2017
Faster Conflict Generation for Dynamic Controllability IJCAI 2017
k-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms NIPS 2017
Analysis and Optimization of Graph Decompositions by Lifted Multicuts ICML 2017
Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming IJCAI 2017
CCEHC: An Efficient Local Search Algorithm for Weighted Partial Maximum Satisfiability (Extended Abstract) IJCAI 2017
Parametric Simplex Method for Sparse Learning NIPS 2017
Minimizing a Submodular Function from Samples NIPS 2017
Bayesian Network Structure Learning with Integer Programming: Polytopes, Facets and Complexity (Extended Abstract) IJCAI 2017
Top-k Supervise Feature Selection via ADMM for Integer Programming IJCAI 2017
Online Bridged Pruning for Real-Time Search with Arbitrary Lookaheads IJCAI 2017
Front-to-End Bidirectional Heuristic Search with Near-Optimal Node Expansions IJCAI 2017
The limits of automatic summarisation according to ROUGE EACL 2017
Linear regression without correspondence NIPS 2017
Maximization of Approximately Submodular Functions NIPS 2016
Pruning Random Forests for Prediction on a Budget NIPS 2016
A subtree-based factorization of dependency parsing COLING 2016
Learning Acyclic Directed Mixed Graphs from Observations and Interventions PGM 2016
Greedy Column Subset Selection: New Bounds and Distributed Algorithms ICML 2016