Convex Optimization

Cone-Constrained Principal Component Analysis NeurIPS 2014 Constrained convex minimization via model-based excessive gap NeurIPS 2014 Convex Deep Learning via Normalized Kernels NeurIPS 2014 Convex Optimization Procedure for Clustering: Theoretical Revisit NeurIPS 2014 Decorrelated Vectorial Total Variation CVPR 2014 Deterministic Symmetric Positive Semidefinite Matrix Completion NeurIPS 2014 Divide-and-Conquer Learning by Anchoring a Conical Hull NeurIPS 2014 Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials NeurIPS 2014 Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs AISTATS 2014 Efficient Minimax Signal Detection on Graphs NeurIPS 2014 Efficient Pruning LMI Conditions for Branch-and-Prune Rank and Chirality-Constrained Estimation of the Dual Absolute Quadric CVPR 2014 Elementary Estimators for Sparse Covariance Matrices and other Structured Moments ICML 2014 Estimation with Norm Regularization NeurIPS 2014 Exploiting the Limits of Structure Learning via Inherent Symmetry AISTATS 2014 FAST LABEL: Easy and Efficient Solution of Joint Multi-Label and Estimation Problems CVPR 2014 Generalized Dantzig Selector: Application to the k-support norm NeurIPS 2014 Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm ICML 2014 Graph Clustering With Missing Data: Convex Algorithms and Analysis NeurIPS 2014 Heavy-tailed regression with a generalized median-of-means ICML 2014 Image Fusion with Local Spectral Consistency and Dynamic Gradient Sparsity CVPR 2014 Large-Margin Convex Polytope Machine NeurIPS 2014 Learning without concentration COLT 2014 Local Linear Convergence of Forward--Backward under Partial Smoothness NeurIPS 2014 Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NeurIPS 2014 Multitask learning meets tensor factorization: task imputation via convex optimization NeurIPS 2014