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1911.07596
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Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for Non Convex Optimization
18 November 2019
Anas Barakat
Pascal Bianchi
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Papers citing
"Convergence Analysis of a Momentum Algorithm with Adaptive Step Size for Non Convex Optimization"
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Title
Variational Stochastic Gradient Descent for Deep Neural Networks
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Learning explanations that are hard to vary
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Alexander Neitz
Antonio Orvieto
Luigi Gresele
Bernhard Schölkopf
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Convergence of adaptive algorithms for weakly convex constrained optimization
Ahmet Alacaoglu
Yura Malitsky
Volkan Cevher
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Optimization for deep learning: theory and algorithms
Ruoyu Sun
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137
169
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