Co-occurring keywords · papers mentioning both
Papers
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization
IJCAI 2017
A distributed block coordinate descent method for training l1 regularized linear classifiers
JMLR 2017
Asynchronous Coordinate Descent under More Realistic Assumptions
NeurIPS 2017
Breaking Locality Accelerates Block Gauss-Seidel
ICML 2017
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks
NeurIPS 2017
Efficient Linear Programming for Dense CRFs
CVPR 2017
Large-Scale Optimization Algorithms for Sparse Conditional Gaussian Graphical Models
AISTATS 2016
Learning Sparse Gaussian Graphical Models with Overlapping Blocks
NeurIPS 2016
Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms
ICML 2016
Scalable Exemplar Clustering and Facility Location via Augmented Block Coordinate Descent with Column Generation
AISTATS 2016
A Dual Augmented Block Minimization Framework for Learning with Limited Memory
NeurIPS 2015
An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization
ICML 2015
A Universal Catalyst for First-Order Optimization
NeurIPS 2015
Decomposition Bounds for Marginal MAP
NeurIPS 2015
Improved Iteration Complexity Bounds of Cyclic Block Coordinate Descent for Convex Problems
NeurIPS 2015
Individual Planning in Infinite-Horizon Multiagent Settings: Inference, Structure and Scalability
NeurIPS 2015
A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation
NeurIPS 2014
Accelerated Mini-batch Randomized Block Coordinate Descent Method
NeurIPS 2014
Fast MRF Optimization with Application to Depth Reconstruction
CVPR 2014
On the Convergence Rate of Decomposable Submodular Function Minimization
NeurIPS 2014
Parallel Direction Method of Multipliers
NeurIPS 2014
Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization
NeurIPS 2014
A Parallel, Block Greedy Method for Sparse Inverse Covariance Estimation for Ultra-high Dimensions
AISTATS 2013
BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables
NeurIPS 2013
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
ICML 2013