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Distributed Learning

123 directly classified papers

Papers per year

Papers

Fast Distributed k-Center Clustering with Outliers on Massive Data NIPS 2015
Distributed Bayesian Posterior Sampling via Moment Sharing NIPS 2014
Distributed Estimation, Information Loss and Exponential Families NIPS 2014
Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data AISTATS 2014
Distributed Parameter Estimation in Probabilistic Graphical Models NIPS 2014
Median Selection Subset Aggregation for Parallel Inference NIPS 2014
Communication Efficient Distributed Machine Learning with the Parameter Server NIPS 2014
Distributed Exploration in Multi-Armed Bandits NIPS 2013
Distributed $k$-means and $k$-median Clustering on General Topologies NIPS 2013
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server NIPS 2013
Optimistic Concurrency Control for Distributed Unsupervised Learning NIPS 2013
Distributed Submodular Maximization: Identifying Representative Elements in Massive Data NIPS 2013
Online Learning of Dynamic Parameters in Social Networks NIPS 2013
Communication-Efficient Algorithms for Statistical Optimization NIPS 2012
Distributed Probabilistic Learning for Camera Networks with Missing Data NIPS 2012
Communication/Computation Tradeoffs in Consensus-Based Distributed Optimization NIPS 2012
Efficient Distributed Linear Classification Algorithms via the Alternating Direction Method of Multipliers AISTATS 2012
Distributed Delayed Stochastic Optimization NIPS 2011
Distributed Dual Averaging In Networks NIPS 2010
Distributed Algorithms for Topic Models JMLR 2009
Asynchronous Distributed Learning of Topic Models NIPS 2008
Parallelizing Support Vector Machines on Distributed Computers NIPS 2007
Map-Reduce for Machine Learning on Multicore NIPS 2006