71 citations · 251 across the 8 of their papers we have counts for
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stat.ML2014★ 15 cited
LightLDA: Big Topic Models on Modest Compute Clusters
Jinhui Yuan, Fei Gao, Qirong Ho +6
When building large-scale machine learning (ML) programs, such as big topic models or deep neural nets, one usually assumes such tasks can only be attempted with industrial-sized c…
stat.ML2013★ 5 cited
Consistent Bounded-Asynchronous Parameter Servers for Distributed ML
Jinliang Wei, Wei Dai, Abhimanu Kumar +3
In distributed ML applications, shared parameters are usually replicated among computing nodes to minimize network overhead. Therefore, proper consistency model must be carefully c…
stat.ML2013★ 9 cited
Petuum: A New Platform for Distributed Machine Learning on Big Data
Eric P. Xing, Qirong Ho, Wei Dai +7
What is a systematic way to efficiently apply a wide spectrum of advanced ML programs to industrial scale problems, using Big Models (up to 100s of billions of parameters) on Big D…