최소 단어 이상 선택하여야 합니다.
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NTIS 바로가기Decision and Control (CDC), 2017 IEEE 56th Annual Conference on, 2017 Dec, 2017년, pp.2880 - 2887
Khirirat, Sarit (Department of Automatic Control, School of Electrical Engineering and ACCESS Linnaeus Center, Royal Institute of Technology (KTH), Stockholm, Sweden) , Feyzmahdavian, Hamid Reza (ABB Corporate Research Center, Vä) , Johansson, Mikael (sterå)
The practical performance of stochastic gradient descent on large-scale machine learning tasks is often much better than what current theoretical tools can guarantee. This indicates that there is an inherent structure in these problems that could be exploited to strengthen the analysis. In this pape...
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