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Distributed Optimization

99 directly classified papers

Papers per year

Papers

Graph Oracle Models, Lower Bounds, and Gaps for Parallel Stochastic Optimization NIPS 2018
Decentralize and Randomize: Faster Algorithm for Wasserstein Barycenters NIPS 2018
Very Large-Scale Global SfM by Distributed Motion Averaging CVPR 2018
Decentralized Submodular Maximization: Bridging Discrete and Continuous Settings ICML 2018
Straggler Mitigation in Distributed Optimization Through Data Encoding NIPS 2017
Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization NIPS 2017
DOPE: Distributed Optimization for Pairwise Energies CVPR 2017
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent NIPS 2017
Collaborative Deep Learning in Fixed Topology Networks NIPS 2017
Short-Dot: Computing Large Linear Transforms Distributedly Using Coded Short Dot Products NIPS 2016
A Consensus-Based Framework for Distributed Bundle Adjustment CVPR 2016
Fast Distributed Submodular Cover: Public-Private Data Summarization NIPS 2016
Yggdrasil: An Optimized System for Training Deep Decision Trees at Scale NIPS 2016
Deep learning with Elastic Averaging SGD NIPS 2015
Communication Complexity of Distributed Convex Learning and Optimization NIPS 2015
Communication-Efficient Distributed Dual Coordinate Ascent NIPS 2014
Distributed Power-law Graph Computing: Theoretical and Empirical Analysis 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