Combinatorial Optimization

Submodular Multi-Label Learning NeurIPS 2011 Thinning Measurement Models and Questionnaire Design NeurIPS 2011 A Fast Traversal Heuristic and Optimal Algorithm for Effective Environmental Coverage RSS 2010 Assessing Optimal Assignment under Uncertainty: An Interval-based Algorithm RSS 2010 Bayesian structure discovery in Bayesian networks with less space AISTATS 2010 Decomposing Isotonic Regression for Efficiently Solving Large Problems NeurIPS 2010 Efficient Minimization of Decomposable Submodular Functions NeurIPS 2010 Extensions of Generalized Binary Search to Group Identification and Exponential Costs NeurIPS 2010 Generalized roof duality and bisubmodular functions NeurIPS 2010 Kronecker Graphs: An Approach to Modeling Networks JMLR 2010 Learning Bayesian Network Structure using LP Relaxations AISTATS 2010 Learning Causal Structure from Overlapping Variable Sets AISTATS 2010 MAP estimation in Binary MRFs via Bipartite Multi-cuts NeurIPS 2010 Minimum Average Cost Clustering NeurIPS 2010 Network Flow Algorithms for Structured Sparsity NeurIPS 2010 On-Line Sequential Bin Packing JMLR 2010 Optimal Search on Clustered Structural Constraint for Learning Bayesian Network Structure JMLR 2010 Optimal Web-Scale Tiering as a Flow Problem NeurIPS 2010 Polynomial-Time Exact Inference in NP-Hard Binary MRFs via Reweighted Perfect Matching AISTATS 2010 Segmentation as Maximum-Weight Independent Set NeurIPS 2010 SFO: A Toolbox for Submodular Function Optimization JMLR 2010 Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms AISTATS 2010 Using Descendants as Instrumental Variables for the Identification of Direct Causal Effects in Linear SEMs AISTATS 2010 Variational Inference over Combinatorial Spaces NeurIPS 2010 A Data-Driven Approach to Modeling Choice NeurIPS 2009