Discrete Optimization

Parallel Double Greedy Submodular Maximization NeurIPS 2014 Partial Optimality by Pruning for MAP-inference with General Graphical Models CVPR 2014 Provable Submodular Minimization using Wolfe's Algorithm NeurIPS 2014 Reconstructing Storyline Graphs for Image Recommendation from Web Community Photos CVPR 2014 Rounding-based Moves for Metric Labeling NeurIPS 2014 Sparse binary zero-sum games ACML 2014 Submodularization for Binary Pairwise Energies CVPR 2014 Video Classification using Semantic Concept Co-occurrences CVPR 2014 Zeta Hull Pursuits: Learning Nonconvex Data Hulls NeurIPS 2014 A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems CVPR 2013 Adaptive Submodular Maximization in Bandit Setting NeurIPS 2013 Auxiliary Cuts for General Classes of Higher Order Functionals CVPR 2013 Bethe Bounds and Approximating the Global Optimum AISTATS 2013 Convex Relaxations for Permutation Problems NeurIPS 2013 Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions NeurIPS 2013 Discrete MRF Inference of Marginal Densities for Non-uniformly Discretized Variable Space CVPR 2013 Distributed Submodular Maximization: Identifying Representative Elements in Massive Data NeurIPS 2013 DivMCuts: Faster Training of Structural SVMs with Diverse M-Best Cutting-Planes AISTATS 2013 Dual Decomposition for Joint Discrete-Continuous Optimization AISTATS 2013 Embed and Project: Discrete Sampling with Universal Hashing NeurIPS 2013 Fast Energy Minimization Using Learned State Filters CVPR 2013 Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation NeurIPS 2013 Hypergraphs for Joint Multi-view Reconstruction and Multi-object Tracking CVPR 2013 Improved and Generalized Upper Bounds on the Complexity of Policy Iteration NeurIPS 2013 Improving Graph Matching via Density Maximization ICCV 2013