convex relaxation

Convex and Scalable Weakly Labeled SVMs JMLR 2013 Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs ICML 2013 Convex Relaxations for Permutation Problems NeurIPS 2013 Convex Two-Layer Modeling NeurIPS 2013 Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods AISTATS 2013 Dual Decomposition for Joint Discrete-Continuous Optimization AISTATS 2013 Efficient 3D Endfiring TRUS Prostate Segmentation with Globally Optimized Rotational Symmetry CVPR 2013 Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA NeurIPS 2013 Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation NeurIPS 2013 Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression ICML 2013 Proportion Priors for Image Sequence Segmentation ICCV 2013 Relative Volume Constraints for Single View 3D Reconstruction CVPR 2013 Sparse projections onto the simplex ICML 2013 Total Variation Regularization for Functions with Values in a Manifold ICCV 2013 Unsupervised Spectral Learning of Finite State Transducers NeurIPS 2013 A Convex-Concave Relaxation Procedure Based Subgraph Matching Algorithm ACML 2012 A Convex Formulation for Learning Scale-Free Networks via Submodular Relaxation NeurIPS 2012 Density Propagation and Improved Bounds on the Partition Function NeurIPS 2012 Multiclass Learning with Simplex Coding NeurIPS 2012 Multi-task Vector Field Learning NeurIPS 2012 Sparse Prediction with the k-Support Norm NeurIPS 2012 Clustered Multi-Task Learning Via Alternating Structure Optimization NeurIPS 2011 Minimax Localization of Structural Information in Large Noisy Matrices NeurIPS 2011 Analysis of Multi-stage Convex Relaxation for Sparse Regularization JMLR 2010 Efficient Optimization for Discriminative Latent Class Models NeurIPS 2010