non-convex optimization

Communication Efficient Distributed Machine Learning with the Parameter Server NeurIPS 2014 Cone-Constrained Principal Component Analysis NeurIPS 2014 Finding a sparse vector in a subspace: Linear sparsity using alternating directions NeurIPS 2014 Generalized Nonconvex Nonsmooth Low-Rank Minimization CVPR 2014 Identifying and attacking the saddle point problem in high-dimensional non-convex optimization NeurIPS 2014 Learning Theory and Algorithms for revenue optimization in second price auctions with reserve ICML 2014 Linear-time training of nonlinear low-dimensional embeddings AISTATS 2014 Multi-Output Learning for Camera Relocalization CVPR 2014 Non-convex Robust PCA NeurIPS 2014 Outlier Path: A Homotopy Algorithm for Robust SVM ICML 2014 Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization NeurIPS 2014 Self-Paced Learning with Diversity NeurIPS 2014 Sequential Convex Relaxation for Mutual Information-Based Unsupervised Figure-Ground Segmentation CVPR 2014 Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time NeurIPS 2014 Zeta Hull Pursuits: Learning Nonconvex Data Hulls NeurIPS 2014 A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems ICML 2013 A Generalized Iterated Shrinkage Algorithm for Non-convex Sparse Coding ICCV 2013 Algorithms for Direct 0–1 Loss Optimization in Binary Classification ICML 2013 An Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision CVPR 2013 Efficient Sparse Group Feature Selection via Nonconvex Optimization ICML 2013 High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers AISTATS 2013 Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines ICML 2013 Latent Maximum Margin Clustering NeurIPS 2013 Matrix factorization with binary components NeurIPS 2013 Multi-Stage Multi-Task Feature Learning JMLR 2013