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个人简介
My research primarily deals with two different approaches to accelerate the training of popular machine learning models:
Deriving theoretical-guarantees to efficiently learn large numbers of model parameters
Developing fast machine learning algorithms for high-performance computing systems
With a focus on computational biology applications, my work has regularly improved both the speed and accuracy of analysis on massive-scale data.
Deriving theoretical-guarantees to efficiently learn large numbers of model parameters
Developing fast machine learning algorithms for high-performance computing systems
With a focus on computational biology applications, my work has regularly improved both the speed and accuracy of analysis on massive-scale data.
研究兴趣
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user-618b9111e554220b8f25959e(2020)
Proceedings of Machine Learning Research vol (2017): 6-6
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