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math.OC2024
The stochastic Ravine accelerated gradient method with general extrapolation coefficients
Hedy Attouch, Jalal Fadili, Vyacheslav Kungurtsev
In a real Hilbert space domain setting, we study the convergence properties of the stochastic Ravine accelerated gradient method for convex differentiable optimization. We consider…
math.OC2024★ 7 cited
Mini-batch stochastic subgradient for functional constrained optimization
Nitesh Kumar Singh, Ion Necoara, Vyacheslav Kungurtsev
In this paper we consider finite sum composite convex optimization problems with many functional constraints. The objective function is expressed as a finite sum of two terms, one…