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conftrace_

block coordinate descent

85 papers

BCD

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