Optimization

Stochastic Variance Reduction Methods for Saddle-Point Problems NeurIPS 2016 Sub-sampled Newton Methods with Non-uniform Sampling NeurIPS 2016 The non-convex Burer-Monteiro approach works on smooth semidefinite programs NeurIPS 2016 The SNOW Theorem and Latency-Optimal Read-Only Transactions OSDI 2016 Uncalibrated Photometric Stereo by Stepwise Optimization Using Principal Components of Isotropic BRDFs CVPR 2016 Using Relevant Public Posts to Enhance News Article Summarization COLING 2016 Accelerated Mirror Descent in Continuous and Discrete Time NeurIPS 2015 Accelerated Proximal Gradient Methods for Nonconvex Programming NeurIPS 2015 A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements NeurIPS 2015 Adaptive Online Learning NeurIPS 2015 Adaptive Primal-Dual Splitting Methods for Statistical Learning and Image Processing NeurIPS 2015 A Dual Augmented Block Minimization Framework for Learning with Limited Memory NeurIPS 2015 A Fast Algorithm for Elastic Shape Distances Between Closed Planar Curves CVPR 2015 A General Analysis of the Convergence of ADMM ICML 2015 Alternating Minimization for Regression Problems with Vector-valued Outputs NeurIPS 2015 A Metric Parametrization for Trifocal Tensors With Non-Colinear Pinholes CVPR 2015 An Online Learning Algorithm for Bilinear Models ICML 2015 A Projection Free Method for Generalized Eigenvalue Problem With a Nonsmooth Regularizer ICCV 2015 A Solution for Multi-Alignment by Transformation Synchronisation CVPR 2015 A Universal Primal-Dual Convex Optimization Framework NeurIPS 2015 Completing Any Low-rank Matrix, Provably JMLR 2015 Convergence rate of Bayesian tensor estimator and its minimax optimality ICML 2015 Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection ICML 2015 Efficient Non-greedy Optimization of Decision Trees NeurIPS 2015 Exactness of Approximate MAP Inference in Continuous MRFs NeurIPS 2015