convex optimization

Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs ICML 2013 Convex Relaxations for Permutation Problems NeurIPS 2013 Convex Tensor Decomposition via Structured Schatten Norm Regularization NeurIPS 2013 Convex Two-Layer Modeling NeurIPS 2013 Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions NeurIPS 2013 Dimension-Free Exponentiated Gradient NeurIPS 2013 Dirty Statistical Models NeurIPS 2013 Distributed Learning of Gaussian Graphical Models via Marginal Likelihoods AISTATS 2013 Dynamic Scene Deblurring ICCV 2013 Efficient 3D Endfiring TRUS Prostate Segmentation with Globally Optimized Rotational Symmetry CVPR 2013 Exact and Stable Recovery of Pairwise Interaction Tensors NeurIPS 2013 Fantope Projection and Selection: A near-optimal convex relaxation of sparse PCA NeurIPS 2013 Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models ICML 2013 Fast Image Tagging ICML 2013 Global MAP-Optimality by Shrinking the Combinatorial Search Area with Convex Relaxation NeurIPS 2013 Guaranteed Sparse Recovery under Linear Transformation ICML 2013 Image Guided Depth Upsampling Using Anisotropic Total Generalized Variation ICCV 2013 Intersecting singularities for multi-structured estimation ICML 2013 Joint Optimization for Consistent Multiple Graph Matching ICCV 2013 Large Scale Distributed Sparse Precision Estimation NeurIPS 2013 Lasso Screening Rules via Dual Polytope Projection NeurIPS 2013 Learning Convex QP Relaxations for Structured Prediction ICML 2013 Learning CRFs for Image Parsing with Adaptive Subgradient Descent ICCV 2013 Learning Kernels Using Local Rademacher Complexity NeurIPS 2013 Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes AISTATS 2013