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Convex Optimization

589 directly classified papers

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Papers

Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations COLT 2014
Exploiting the Limits of Structure Learning via Inherent Symmetry AISTATS 2014
Efficient Low-Rank Stochastic Gradient Descent Methods for Solving Semidefinite Programs AISTATS 2014
Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction CVPR 2014
Sequential Convex Relaxation for Mutual Information-Based Unsupervised Figure-Ground Segmentation CVPR 2014
Estimation with Norm Regularization NIPS 2014
Divide-and-Conquer Learning by Anchoring a Conical Hull NIPS 2014
Local Linear Convergence of Forward--Backward under Partial Smoothness NIPS 2014
Accelerated Mini-batch Randomized Block Coordinate Descent Method NIPS 2014
Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials NIPS 2014
Deterministic Symmetric Positive Semidefinite Matrix Completion NIPS 2014
Multitask learning meets tensor factorization: task imputation via convex optimization NIPS 2014
Tight convex relaxations for sparse matrix factorization NIPS 2014
Convex Optimization Procedure for Clustering: Theoretical Revisit NIPS 2014
Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization NIPS 2014
Cone-Constrained Principal Component Analysis NIPS 2014
A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates COLT 2014
Time--Data Tradeoffs by Aggressive Smoothing NIPS 2014
Learning without concentration COLT 2014
Towards an optimal stochastic alternating direction method of multipliers ICML 2014
Heavy-tailed regression with a generalized median-of-means ICML 2014
Elementary Estimators for Sparse Covariance Matrices and other Structured Moments ICML 2014
Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm ICML 2014
Shaping Social Activity by Incentivizing Users NIPS 2014
Concavity of reweighted Kikuchi approximation NIPS 2014