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Momentum and stochastic momentum for stochastic gradient, Newton, proximal point and subspace descent methods

Nicolas Loizou, Peter Richtárik

2020Computational Optimization and Applications81 citationsDOIOpen Access PDF

Topics & Concepts

Iterated functionStochastic gradient descentMomentum (technical analysis)MathematicsRate of convergenceStochastic optimizationApplied mathematicsBall (mathematics)Stochastic approximationMathematical optimizationMathematical analysisComputer scienceFinanceArtificial neural networkChannel (broadcasting)Computer networkKey (lock)EconomicsComputer securityMachine learningStochastic Gradient Optimization TechniquesSparse and Compressive Sensing TechniquesAdvanced Bandit Algorithms Research
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