optimization algorithm

They Are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers CVPR 2016 A General Analysis of the Convergence of ADMM ICML 2015 A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs With a Costly Max-Oracle CVPR 2015 Convergence Analysis of Prediction Markets via Randomized Subspace Descent NeurIPS 2015 Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection ICML 2015 FaLRR: A Fast Low Rank Representation Solver CVPR 2015 Fast and Flexible Convolutional Sparse Coding CVPR 2015 Fast, Provable Algorithms for Isotonic Regression in all L_p-norms NeurIPS 2015 Maximum Persistency via Iterative Relaxed Inference With Graphical Models CVPR 2015 Efficient Optimization for Average Precision SVM NeurIPS 2014 Efficient Ranking from Pairwise Comparisons ICML 2013 Linear Convergence with Condition Number Independent Access of Full Gradients NeurIPS 2013 On Algorithms for Sparse Multi-factor NMF NeurIPS 2013 On Decomposing the Proximal Map NeurIPS 2013 Convergence and Energy Landscape for Cheeger Cut Clustering NeurIPS 2012 Feature Clustering for Accelerating Parallel Coordinate Descent NeurIPS 2012 Interpreting prediction markets: a stochastic approach NeurIPS 2012 Stochastic Gradient Descent with Only One Projection NeurIPS 2012 An Exact Algorithm for F-Measure Maximization NeurIPS 2011 Approximating Semidefinite Programs in Sublinear Time NeurIPS 2011 Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization NeurIPS 2011 Trace Lasso: a trace norm regularization for correlated designs NeurIPS 2011 Training SVMs Without Offset JMLR 2011 Decomposing Isotonic Regression for Efficiently Solving Large Problems NeurIPS 2010 Fast detection of multiple change-points shared by many signals using group LARS NeurIPS 2010