31 citations · 66 across the 8 of their papers we have counts for
Showing 2013 · stat.MLShow all
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stat.ML2013
Structure-Aware Dynamic Scheduler for Parallel Machine Learning
Seunghak Lee, Jin Kyu Kim, Qirong Ho +2
Training large machine learning (ML) models with many variables or parameters can take a long time if one employs sequential procedures even with stochastic updates. A natural solu…
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…