Optimization

Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization ICML 2014 Graph Clustering With Missing Data: Convex Algorithms and Analysis NeurIPS 2014 Graph Cut based Continuous Stereo Matching using Locally Shared Labels CVPR 2014 Greedy Subspace Clustering NeurIPS 2014 Grouping-Based Low-Rank Trajectory Completion and 3D Reconstruction NeurIPS 2014 Hamiltonian Monte Carlo Without Detailed Balance ICML 2014 Hash-SVM: Scalable Kernel Machines for Large-Scale Visual Classification CVPR 2014 Heavy-tailed regression with a generalized median-of-means ICML 2014 Higher-Order Clique Reduction Without Auxiliary Variables CVPR 2014 How hard is my MDP?" The distribution-norm to the rescue" NeurIPS 2014 Identifying and attacking the saddle point problem in high-dimensional non-convex optimization NeurIPS 2014 Image Fusion with Local Spectral Consistency and Dynamic Gradient Sparsity CVPR 2014 Image Reconstruction from Bag-of-Visual-Words CVPR 2014 Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers NeurIPS 2014 Input Warping for Bayesian Optimization of Non-Stationary Functions ICML 2014 Iteration Complexity of Feasible Descent Methods for Convex Optimization JMLR 2014 Just-In-Time Learning for Fast and Flexible Inference NeurIPS 2014 l0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence CVPR 2014 L0 Regularized Stationary Time Estimation for Crowd Group Analysis CVPR 2014 Large-Margin Convex Polytope Machine NeurIPS 2014 Large-margin Weakly Supervised Dimensionality Reduction ICML 2014 large scale canonical correlation analysis with iterative least squares NeurIPS 2014 Large-scale L-BFGS using MapReduce NeurIPS 2014 Large-scale Multi-label Learning with Missing Labels ICML 2014 Large Scale Multi-view Stereopsis Evaluation CVPR 2014