Search Overview: Gradient Descent and its variants are very useful, but there exists an entire other class of Stochastic gradient-based methods are the state-of-the-art in large-scale
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Gradient Descent and its variants are very useful, but there exists an entire other class of Stochastic gradient-based methods are the state-of-the-art in large-scale
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Oleg Rudenko, Oleksandr Bezsonov and Kyrylo Oliinyk Kharkiv National University of Radio Electronics Kharkiv, Ukraine In the ...
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- Gradient Descent and its variants are very useful, but there exists an entire other class of
- Stochastic gradient-based methods are the state-of-the-art in large-scale
- Oleg Rudenko, Oleksandr Bezsonov and Kyrylo Oliinyk Kharkiv National University of Radio Electronics Kharkiv, Ukraine In the ...
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