Christopher De Sa
Cornell Ann S. Bowers College of Computing and Information Science, Cornell University
My research interests include algorithmic, software, and hardware techniques for high-performance machine learning, with a focus on relaxed-consistency variants of stochastic algorithms such as asynchronous and low-precision stochastic gradient descent (SGD) and Markov chain Monte Carlo. This work includes applications of machine learning to digital agriculture.
KEYWORDS: machine learning
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