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20172022
most citedAccelerated gradient methods with strong convergence to the minimum norm minimizer: a dynamic approach combining time scaling, averaging, and Tikhonov regularization

2 citations · 5 across the 8 of their papers we have counts for

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math.OC20222 cited

Accelerated gradient methods with strong convergence to the minimum norm minimizer: a dynamic approach combining time scaling, averaging, and Tikhonov regularization

Hedy Attouch, Zaki Chbani, Hassan Riahi

In a Hilbert framework, for convex differentiable optimization, we consider accelerated gradient methods obtained by combining temporal scaling and averaging techniques with Tikhon…

math.OC20221 cited

Accelerated gradient methods combining Tikhonov regularization with geometric damping driven by the Hessian

Hedy Attouch, Aicha Balhag, Zaki Chbani +1

In a Hilbert setting, for convex differentiable optimization, we consider accelerated gradient dynamics combining Tikhonov regularization with Hessian-driven damping. The Tikhonov…

math.OC2021

Damped inertial dynamics with vanishing Tikhonov regularization: strong asymptotic convergence towards the minimum norm solution

Hedy Attouch, Aicha Balhag, Zaki Chbani +1

In a Hilbert space, we provide a fast dynamic approach to the hierarchical minimization problem which consists in finding the minimum norm solution of a convex minimization problem…

math.OC2021

Convergence of iterates for first-order optimization algorithms with inertia and Hessian driven damping

Hedy Attouch, Zaki Chbani, Jalal Fadili +1

In a Hilbert space setting, for convex optimization, we show the convergence of the iterates to optimal solutions for a class of accelerated first-order algorithms. They can be int…

math.OC20211 cited

Fast convergence of dynamical ADMM via time scaling of damped inertial dynamics

Hedy Attouch, Zaki Chbani, Jalal Fadili +1

In this paper, we propose in a Hilbertian setting a second-order time-continuous dynamic system with fast convergence guarantees to solve structured convex minimization problems wi…

math.OC2020

Fast convex optimization via inertial dynamics combining viscous and Hessian-driven damping with time rescaling

Hedy Attouch, Aicha Balhag, Zaki Chbani +1

In a Hilbert setting, we develop fast methods for convex unconstrained optimization. We rely on the asymptotic behavior of an inertial system combining geometric damping with tempo…