Optimization

Generalized Nonconvex Nonsmooth Low-Rank Minimization CVPR 2014 Hard-Margin Active Linear Regression ICML 2014 Higher-Order Clique Reduction Without Auxiliary Variables CVPR 2014 Identifying and attacking the saddle point problem in high-dimensional non-convex optimization NeurIPS 2014 Input Warping for Bayesian Optimization of Non-Stationary Functions ICML 2014 Joint Depth Estimation and Camera Shake Removal from Single Blurry Image CVPR 2014 Large-scale L-BFGS using MapReduce NeurIPS 2014 Logistic Regression: Tight Bounds for Stochastic and Online Optimization COLT 2014 Multi-feature Spectral Clustering with Minimax Optimization CVPR 2014 Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NeurIPS 2014 Newton Greedy Pursuit: A Quadratic Approximation Method for Sparsity-Constrained Optimization CVPR 2014 Nonparametric Estimation of Multi-View Latent Variable Models ICML 2014 Optimal Data Collection For Informative Rankings Expose Well-Connected Graphs JMLR 2014 Orbit Regularization NeurIPS 2014 Outlier Path: A Homotopy Algorithm for Robust SVM ICML 2014 Parallel Direction Method of Multipliers NeurIPS 2014 Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization NeurIPS 2014 Partial Optimality by Pruning for MAP-inference with General Graphical Models CVPR 2014 Photometric Bundle Adjustment for Dense Multi-View 3D Modeling CVPR 2014 Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction CVPR 2014 Provable Submodular Minimization using Wolfe's Algorithm NeurIPS 2014 Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators NeurIPS 2014 Putting MRFs on a Tensor Train ICML 2014 Saddle Points and Accelerated Perceptron Algorithms ICML 2014 SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives NeurIPS 2014