Co-occurring keywords · papers mentioning both
Papers
A Consensus-Based Framework for Distributed Bundle Adjustment
CVPR 2016
AdaDelay: Delay Adaptive Distributed Stochastic Optimization
AISTATS 2016
A primal-dual method for conic constrained distributed optimization problems
NeurIPS 2016
Distributed Submodular Maximization
JMLR 2016
Fast Distributed Submodular Cover: Public-Private Data Summarization
NeurIPS 2016
Horizontally Scalable Submodular Maximization
ICML 2016
NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization
NeurIPS 2016
Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms
ICML 2016
Without-Replacement Sampling for Stochastic Gradient Methods
NeurIPS 2016
Adding vs. Averaging in Distributed Primal-Dual Optimization
ICML 2015
An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization
ICML 2015
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization
NeurIPS 2015
Communication Complexity of Distributed Convex Learning and Optimization
NeurIPS 2015
Deep learning with Elastic Averaging SGD
NeurIPS 2015
DiSCO: Distributed Optimization for Self-Concordant Empirical Loss
ICML 2015
Distributed Box-Constrained Quadratic Optimization for Dual Linear SVM
ICML 2015
FaLRR: A Fast Low Rank Representation Solver
CVPR 2015
Asynchronous Distributed ADMM for Consensus Optimization
ICML 2014
Communication-Efficient Distributed Dual Coordinate Ascent
NeurIPS 2014
Communication Efficient Distributed Machine Learning with the Parameter Server
NeurIPS 2014
Communication-Efficient Distributed Optimization using an Approximate Newton-type Method
ICML 2014
Distributed optimization of deeply nested systems
AISTATS 2014
Large-scale L-BFGS using MapReduce
NeurIPS 2014
Communication-Efficient Algorithms for Statistical Optimization
JMLR 2013
Distributed Submodular Maximization: Identifying Representative Elements in Massive Data
NeurIPS 2013