Discrete Optimization
721 papers
Papers per year
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15
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60
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66
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3
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Papers
Robust Budget Allocation via Continuous Submodular Functions
ICML 2017
Softpressure: A Schedule-Driven Backpressure Algorithm for Coping with Network Congestion
IJCAI 2017
Stochastic Submodular Maximization: The Case of Coverage Functions
NeurIPS 2017
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly
NeurIPS 2017
Temporal Planning with Clock-Based SMT Encodings
IJCAI 2017
The limits of automatic summarisation according to ROUGE
EACL 2017
Top-k Supervise Feature Selection via ADMM for Integer Programming
IJCAI 2017
Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging
IJCNLP 2017
A Novel Relationship Between Dynamics and Complexity in Multi-agent Collision Avoidance
RSS 2016
Assortment Optimization Under the Mallows model
NeurIPS 2016
A subtree-based factorization of dependency parsing
COLING 2016
Efficient Point Process Inference for Large-Scale Object Detection
CVPR 2016
Greedy Column Subset Selection: New Bounds and Distributed Algorithms
ICML 2016
Improved Hamming Distance Search Using Variable Length Substrings
CVPR 2016
Joint Probabilistic Matching Using m-Best Solutions
CVPR 2016
Learning Acyclic Directed Mixed Graphs from Observations and Interventions
PGM 2016
Maximization of Approximately Submodular Functions
NeurIPS 2016
Pairwise Matching Through Max-Weight Bipartite Belief Propagation
CVPR 2016
Phrase-based Machine Translation using Multiple Preordering Candidates
COLING 2016
Pruning Random Forests for Prediction on a Budget
NeurIPS 2016
Solving Marginal MAP Problems with NP Oracles and Parity Constraints
NeurIPS 2016
Solving Temporal Puzzles
CVPR 2016
The Chordal Graph Polytope for Learning Decomposable Models
PGM 2016
The Effect of Combination Functions on the Complexity of Relational Bayesian Networks
PGM 2016
The Parameterized Complexity of Approximate Inference in Bayesian Networks
PGM 2016