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On-the-Fly SfM: What you capture is What you get
Over the last decades, ample achievements have been made on Structure fr...
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Distributed stochastic inertial methods with delayed derivatives
Stochastic gradient methods (SGMs) are predominant approaches for solvin...
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Asynchronous parallel adaptive stochastic gradient methods
Stochastic gradient methods (SGMs) are the predominant approaches to tra...
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Katyusha Acceleration for Convex Finite-Sum Compositional Optimization
Structured problems arise in many applications. To solve these problems,...
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