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proximal gradient

74 papers

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PG

Co-occurring keywords

convex optimization (1321) stochastic optimization (1060) nonconvex optimization (316) variance reduction (523) linear convergence (158) proximal gradient descent (36) nonsmooth optimization (49) proximal gradient method (18) convergence rate (607) coordinate descent (147)

Papers

Principled Parallel Mean-Field Inference for Discrete Random Fields CVPR 2016
Fast Rate Analysis of Some Stochastic Optimization Algorithms ICML 2016
Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization NIPS 2016
Accelerating Stochastic Composition Optimization NIPS 2016
The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM NIPS 2016
Minimizing Nonconvex Non-Separable Functions AISTATS 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
An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization ICML 2015
Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems NIPS 2015
Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification ICCV 2015
QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models NIPS 2014
Multivariate Regression with Calibration NIPS 2014
Nuclear Norm Minimization via Active Subspace Selection ICML 2014
Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection NIPS 2014
An Accelerated Proximal Coordinate Gradient Method NIPS 2014
Stochastic Proximal Gradient Descent with Acceleration Techniques NIPS 2014
Stochastic Majorization-Minimization Algorithms for Large-Scale Optimization NIPS 2013
Better Approximation and Faster Algorithm Using the Proximal Average NIPS 2013
Optimization with First-Order Surrogate Functions ICML 2013
Uncover Topic-Sensitive Information Diffusion Networks AISTATS 2013
Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors NIPS 2013
Robust Transfer Principal Component Analysis with Rank Constraints NIPS 2013
Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation NIPS 2012