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Distributed Computing for Machine Learning

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If you have a question about this talk, please contact Shakir Mohamed.

Today we will discuss parts of these papers:

Map-Reduce for Machine Learning on Multicore, Chu et al, NIPS 2006 Resampling algorithms and architectures for distributed particle filters, Bolić, Djurić and Hong, Signal Processing 2005 Parallelized Variational EM for Latent Dirichlet Allocation: An Experimental Evaluation of Speed and Scalability, Nallapati, Cohen and Lafferty, ICDMW 2007 Distributed Inference for Latent Dirichlet Allocation, Newman, Asuncion, Smyth and Welling, NIPS 2007 Asynchronous Distributed Learning of Topic Models, Asuncion, Smyth and Welling, NIPS 2008

This talk is part of the Machine Learning Reading Group @ CUED series.

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