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Distributed Optimization

99 papers

Papers per year

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Papers

Communication Efficient Parallel Algorithms for Optimization on Manifolds NIPS 2018
Very Large-Scale Global SfM by Distributed Motion Averaging CVPR 2018
A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning ICML 2018
Decentralized Submodular Maximization: Bridging Discrete and Continuous Settings ICML 2018
Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization NIPS 2017
Straggler Mitigation in Distributed Optimization Through Data Encoding NIPS 2017
Collaborative Deep Learning in Fixed Topology Networks NIPS 2017
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent NIPS 2017
DOPE: Distributed Optimization for Pairwise Energies CVPR 2017
Fast Distributed Submodular Cover: Public-Private Data Summarization NIPS 2016
Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale NIPS 2016
Short-Dot: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products NIPS 2016
A Consensus-Based Framework for Distributed Bundle Adjustment CVPR 2016
Communication Complexity of Distributed Convex Learning and Optimization NIPS 2015
Deep learning with Elastic Averaging SGD NIPS 2015
Distributed Power-law Graph Computing: Theoretical and Empirical Analysis NIPS 2014
Communication-Efficient Distributed Dual Coordinate Ascent NIPS 2014
Trading Computation for Communication: Distributed Stochastic Dual Coordinate Ascent NIPS 2013
Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization NIPS 2012
Communication-Efficient Algorithms for Statistical Optimization NIPS 2012
Divide-and-Conquer Matrix Factorization NIPS 2011
Distributed Dual Averaging In Networks NIPS 2010
Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models NIPS 2009
Parallelizing Support Vector Machines on Distributed Computers NIPS 2007