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convex optimization

1320 papers

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Also known as

ACO ADMM CO OCO

Co-occurring keywords

stochastic optimization (1060) convergence rate (606) stochastic gradient descent (1088) gradient descent (1143) online learning (1770) support vector machine (976) matrix completion (356) regret bound (1918) kernel methods (1096) sparse optimization (246)

Papers

Analysis of Robust PCA via Local Incoherence NIPS 2015
Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions COLT 2015
Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functions ICML 2015
Fast Randomized Singular Value Thresholding for Nuclear Norm Minimization CVPR 2015
A Matrix Decomposition Perspective to Multiple Graph Matching ICCV 2015
The entropic barrier: a simple and optimal universal self-concordant barrier COLT 2015
Weakly Supervised Graph Based Semantic Segmentation by Learning Communities of Image-Parts ICCV 2015
Parameter Estimation of Generalized Linear Models without Assuming their Link Function AISTATS 2015
Convex Multi-Task Learning by Clustering AISTATS 2015
A Convex Optimization Framework for Bi-Clustering ICML 2015
Spectral Norm Regularization of Orthonormal Representations for Graph Transduction NIPS 2015
Convergence rates of sub-sampled Newton methods NIPS 2015
Adaptive Online Learning NIPS 2015
Clustering Partially Observed Graphs via Convex Optimization JMLR 2014
Accelerated Mini-batch Randomized Block Coordinate Descent Method NIPS 2014
Clustering from Labels and Time-Varying Graphs NIPS 2014
A Differential Equation for Modeling Nesterov’s Accelerated Gradient Method: Theory and Insights NIPS 2014
Preconditioning for Accelerated Iteratively Reweighted Least Squares in Structured Sparsity Reconstruction CVPR 2014
The Coherent Loss Function for Classification ICML 2014
Iteration Complexity of Feasible Descent Methods for Convex Optimization JMLR 2014
On the Convergence Rate of Decomposable Submodular Function Minimization NIPS 2014
Scalable Kernel Methods via Doubly Stochastic Gradients NIPS 2014
The limits of squared Euclidean distance regularization NIPS 2014
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives NIPS 2014
On Sparse Gaussian Chain Graph Models NIPS 2014