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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

Optical Flow via Locally Adaptive Fusion of Complementary Data Costs ICCV 2013
Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization ICML 2013
Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs ICML 2013
Spectral Learning of Hidden Markov Models from Dynamic and Static Data ICML 2013
BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NIPS 2013
Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching NIPS 2013
Robust Regression on MapReduce ICML 2013
Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models ICML 2013
Robust learning of low-dimensional dynamics from large neural ensembles NIPS 2013
Polar Operators for Structured Sparse Estimation NIPS 2013
Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis NIPS 2013
(Nearly) Optimal Algorithms for Private Online Learning in Full-information and Bandit Settings NIPS 2013
Reconciling "priors" & "priors" without prejudice? NIPS 2013
Provable Subspace Clustering: When LRR meets SSC NIPS 2013
Efficient 3D Endfiring TRUS Prostate Segmentation with Globally Optimized Rotational Symmetry CVPR 2013
Area Preserving Brain Mapping CVPR 2013
A Convex Regularizer for Reducing Color Artifact in Color Image Recovery CVPR 2013
A New Model and Simple Algorithms for Multi-label Mumford-Shah Problems CVPR 2013
MODEC: Multimodal Decomposable Models for Human Pose Estimation CVPR 2013
Relative Volume Constraints for Single View 3D Reconstruction CVPR 2013
The Variational Structure of Disparity and Regularization of 4D Light Fields CVPR 2013
Linear Convergence with Condition Number Independent Access of Full Gradients NIPS 2013
Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting ICML 2013
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization JMLR 2013
Affine-Constrained Group Sparse Coding and Its Application to Image-Based Classifications ICCV 2013