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Distributed Learning

1,135 papers

Papers per year

6
20
109
93
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Papers

Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models NIPS 2009
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units NIPS 2009
Distributed Algorithms for Topic Models JMLR 2009
Asynchronous Distributed Learning of Topic Models NIPS 2008
A Scalable Hierarchical Distributed Language Model NIPS 2008
A Massively Parallel Digital Learning Processor NIPS 2008
Distributed Inference for Latent Dirichlet Allocation NIPS 2007
Privacy-Preserving Belief Propagation and Sampling NIPS 2007
Parallelizing Support Vector Machines on Distributed Computers NIPS 2007
Map-Reduce for Machine Learning on Multicore NIPS 2006