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Improving Gibbs Sampler Scan Quality with DoGS


Jul 18, 2017
Ioannis Mitliagkas, Lester Mackey

* ICML 2017 

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Accelerated Stochastic Power Iteration


Jul 10, 2017
Christopher De Sa, Bryan He, Ioannis Mitliagkas, Christopher Ré, Peng Xu

* 37 pages, 5 figures 

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Asynchrony begets Momentum, with an Application to Deep Learning


Nov 25, 2016
Ioannis Mitliagkas, Ce Zhang, Stefan Hadjis, Christopher Ré

* Full version of a paper published in Annual Allerton Conference on Communication, Control, and Computing (Allerton) 2016 

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Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs


Oct 19, 2016
Stefan Hadjis, Ce Zhang, Ioannis Mitliagkas, Dan Iter, Christopher Ré


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Parallel SGD: When does averaging help?


Jun 23, 2016
Jian Zhang, Christopher De Sa, Ioannis Mitliagkas, Christopher Ré


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Scan Order in Gibbs Sampling: Models in Which it Matters and Bounds on How Much


Jun 10, 2016
Bryan He, Christopher De Sa, Ioannis Mitliagkas, Christopher Ré


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Memory Limited, Streaming PCA


Jun 28, 2013
Ioannis Mitliagkas, Constantine Caramanis, Prateek Jain


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