convex optimization

Efficient Pruning LMI Conditions for Branch-and-Prune Rank and Chirality-Constrained Estimation of the Dual Absolute Quadric CVPR 2014 Efficient Sampling for Learning Sparse Additive Models in High Dimensions NeurIPS 2014 Elementary Estimators for High-Dimensional Linear Regression ICML 2014 Exclusive Feature Learning on Arbitrary Structures via ℓ_1,2-norm NeurIPS 2014 Exponential Family Matrix Completion under Structural Constraints ICML 2014 FAST LABEL: Easy and Efficient Solution of Joint Multi-Label and Estimation Problems CVPR 2014 Fast Stochastic Alternating Direction Method of Multipliers ICML 2014 Finito: A faster, permutable incremental gradient method for big data problems ICML 2014 Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint ICML 2014 Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion 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 Improved Bounds for Online Learning Over the Permutahedron and Other Ranking Polytopes AISTATS 2014 Iteration Complexity of Feasible Descent Methods for Convex Optimization JMLR 2014 Large-Margin Convex Polytope Machine NeurIPS 2014 Learning Graphical Models With Hubs JMLR 2014 Learning without concentration COLT 2014 Linear Ranking Analysis CVPR 2014 Linear Time Solver for Primal SVM ICML 2014 Local Linear Convergence of Forward--Backward under Partial Smoothness NeurIPS 2014 Logistic Regression: Tight Bounds for Stochastic and Online Optimization COLT 2014 Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection ICML 2014 Multitask learning meets tensor factorization: task imputation via convex optimization NeurIPS 2014