proximal gradient

Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems IJCAI 2017 Geometric Descent Method for Convex Composite Minimization NeurIPS 2017 On Perturbed Proximal Gradient Algorithms JMLR 2017 Accelerating Stochastic Composition Optimization NeurIPS 2016 Fast Rate Analysis of Some Stochastic Optimization Algorithms ICML 2016 From Keyframes to Key Objects: Video Summarization by Representative Object Proposal Selection CVPR 2016 Principled Parallel Mean-Field Inference for Discrete Random Fields CVPR 2016 Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization NeurIPS 2016 The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM NeurIPS 2016 An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization ICML 2015 Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM ICML 2015 Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection ICML 2015 Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification ICCV 2015 Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems NeurIPS 2015 Minimizing Nonconvex Non-Separable Functions AISTATS 2015 Semi-Proximal Mirror-Prox for Nonsmooth Composite Minimization NeurIPS 2015 An Accelerated Proximal Coordinate Gradient Method NeurIPS 2014 Multivariate Regression with Calibration NeurIPS 2014 Nuclear Norm Minimization via Active Subspace Selection ICML 2014 Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection NeurIPS 2014 QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NeurIPS 2014 Stochastic Proximal Gradient Descent with Acceleration Techniques NeurIPS 2014 Better Approximation and Faster Algorithm Using the Proximal Average NeurIPS 2013 Optimization with First-Order Surrogate Functions ICML 2013 Robust Transfer Principal Component Analysis with Rank Constraints NeurIPS 2013