Arthur Asuncion

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Given the prevalence of large data sets and the availability of inexpensive parallel computing hardware, there is significant motivation to explore distributed implementations of statistical learning algorithms. In this paper, we present a distributed learning framework for Latent Dirich-let Allocation (LDA), a well-known Bayesian latent variable model for(More)
Google Research recently tested a massive online class model for an internal engineering education program, with machine learning as the topic, that blended theoretical concepts and Google-specific software tool tutorials. The goal of this training was to foster engineering capacity to leverage machine learning tools in future products. The course was(More)
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