Saved in:
| Main Author: | Schindler, Chiara |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.15392 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Convergence analysis of a Tikhonov regularized inertial dynamical system and algorithm for convex optimization problems
by: Sun, Xiangkai, et al.
Published: (2025)
by: Sun, Xiangkai, et al.
Published: (2025)
Tikhonov regularized inertial primal-dual dynamics for convex-concave bilinear saddle point problems
by: Sun, Xiangkai, et al.
Published: (2024)
by: Sun, Xiangkai, et al.
Published: (2024)
Tikhonov regularization of second-order plus first-order primal-dual dynamical systems for separable convex optimization
by: Sun, Xiangkai, et al.
Published: (2024)
by: Sun, Xiangkai, et al.
Published: (2024)
On the convergence of an inertial proximal algorithm with a Tikhonov regularization term
by: László, Szilárd Csaba
Published: (2023)
by: László, Szilárd Csaba
Published: (2023)
Inertial primal-dual dynamics with Hessian-driven damping and Tikhonov regularization for convex-concave bilinear saddle point problems
by: Sun, Xiangkai, et al.
Published: (2024)
by: Sun, Xiangkai, et al.
Published: (2024)
Primal-dual dynamical systems with closed-loop control for convex optimization in continuous and discrete time
by: Zhang, Huan, et al.
Published: (2026)
by: Zhang, Huan, et al.
Published: (2026)
A proximal-gradient inertial algorithm with Tikhonov regularization: strong convergence to the minimal norm solution
by: László, Szilárd Csaba
Published: (2024)
by: László, Szilárd Csaba
Published: (2024)
Inertial accelerated primal-dual algorithms for non-smooth convex optimization problems with linear equality constraints
by: Zhang, Huan, et al.
Published: (2025)
by: Zhang, Huan, et al.
Published: (2025)
Inertial dynamics with vanishing Tikhonov regularization for multiobjective optimization
by: Bot, Radu Ioan, et al.
Published: (2024)
by: Bot, Radu Ioan, et al.
Published: (2024)
Consistency of sample-based stationary points for infinite-dimensional stochastic optimization
by: Milz, Johannes
Published: (2023)
by: Milz, Johannes
Published: (2023)
Convexity of Optimization Curves: Local Sharp Thresholds, Robustness Impossibility, and New Counterexamples
by: Hieu, Le Duc
Published: (2025)
by: Hieu, Le Duc
Published: (2025)
A Proximal Stochastic Gradient Method with Adaptive Step Size and Variance Reduction for Convex Composite Optimization
by: Fang, Changjie, et al.
Published: (2025)
by: Fang, Changjie, et al.
Published: (2025)
Parallel block coordinate descent methods with identification strategies
by: Lopes, Ronaldo, et al.
Published: (2025)
by: Lopes, Ronaldo, et al.
Published: (2025)
Distributed Computing for Huge-Scale Linear Programming
by: Tao, Luoyi
Published: (2024)
by: Tao, Luoyi
Published: (2024)
Distributed Computing for Huge-Scale Aggregative Convex Programming
by: Tao, Luoyi
Published: (2026)
by: Tao, Luoyi
Published: (2026)
Complexity of Adagrad and other first-order methods for nonconvex optimization problems with bounds constraints
by: Gratton, Serge, et al.
Published: (2024)
by: Gratton, Serge, et al.
Published: (2024)
Complexity and performance for two classes of noise-tolerant first-order algorithms
by: Gratton, S., et al.
Published: (2022)
by: Gratton, S., et al.
Published: (2022)
Structural and Solution Analysis for the Ordered Weber Problem under Spatial Uncertainty
by: Blanco, Víctor, et al.
Published: (2025)
by: Blanco, Víctor, et al.
Published: (2025)
Inertial dynamical systems and accelerated algorithms with implicit Hessian-driven damping for nonconvex optimization
by: Gao, Zeying, et al.
Published: (2026)
by: Gao, Zeying, et al.
Published: (2026)
Nesterov acceleration for strongly convex-strongly concave bilinear saddle point problems: discrete and continuous-time approaches
by: He, Xin, et al.
Published: (2025)
by: He, Xin, et al.
Published: (2025)
Strong convergence and fast rates for systems with Tikhonov regularization
by: Csetnek, Ernö Robert, et al.
Published: (2024)
by: Csetnek, Ernö Robert, et al.
Published: (2024)
Asymptotic Convergence and Stability of Adaptive Gradient Methods in Smooth Non-convex Optimization
by: Jin, Ruinan, et al.
Published: (2026)
by: Jin, Ruinan, et al.
Published: (2026)
Recovering Nesterov accelerated dynamics from Heavy Ball dynamics via time rescaling
by: Attouch, Hedy, et al.
Published: (2025)
by: Attouch, Hedy, et al.
Published: (2025)
MGProx: A nonsmooth multigrid proximal gradient method with adaptive restriction for strongly convex optimization
by: Ang, Andersen, et al.
Published: (2023)
by: Ang, Andersen, et al.
Published: (2023)
Parallelizing the Circumcentered-Reflection Method
by: Barros, Pablo, et al.
Published: (2025)
by: Barros, Pablo, et al.
Published: (2025)
Optimal Subgradient Methods for Lipschitz Convex Optimization with Error Bounds
by: Wang, Alex L.
Published: (2025)
by: Wang, Alex L.
Published: (2025)
A Modified Proximal Bundle Method Under A Frank-Wolfe Perspective
by: Fersztand, David, et al.
Published: (2024)
by: Fersztand, David, et al.
Published: (2024)
Fast Convergence of Inertial Multiobjective Gradient-like Systems with Asymptotic Vanishing Damping
by: Sonntag, Konstantin, et al.
Published: (2023)
by: Sonntag, Konstantin, et al.
Published: (2023)
Auto-exploration for online reinforcement learning
by: Ju, Caleb, et al.
Published: (2025)
by: Ju, Caleb, et al.
Published: (2025)
Bias-Variance Trade-off for Clipped Stochastic First-Order Methods: From Bounded Variance to Infinite Mean
by: He, Chuan
Published: (2025)
by: He, Chuan
Published: (2025)
Augmented Lagrangian methods for fully convex composite optimization
by: De Marchi, Alberto, et al.
Published: (2025)
by: De Marchi, Alberto, et al.
Published: (2025)
Convergence rates for ensemble-based solutions to optimal control of uncertain dynamical systems
by: Melnikov, Olena, et al.
Published: (2024)
by: Melnikov, Olena, et al.
Published: (2024)
Solving convex optimization problems via a second order dynamical system with implicit Hessian damping and Tikhonov regularization
by: László, Szilárd Csaba
Published: (2024)
by: László, Szilárd Csaba
Published: (2024)
Splitting Algorithms for Distributionally Robust Optimization
by: Briceño-Arias, Luis, et al.
Published: (2024)
by: Briceño-Arias, Luis, et al.
Published: (2024)
Riemannian Adaptive Regularized Newton Methods with Hölder Continuous Hessians
by: Zhang, Chenyu, et al.
Published: (2023)
by: Zhang, Chenyu, et al.
Published: (2023)
Dual dynamic programming for stochastic programs over an infinite horizon
by: Ju, Caleb, et al.
Published: (2023)
by: Ju, Caleb, et al.
Published: (2023)
Retrospective Approximation Sequential Quadratic Programming for Stochastic Optimization with General Deterministic Nonlinear Constraints
by: Berahas, Albert S., et al.
Published: (2025)
by: Berahas, Albert S., et al.
Published: (2025)
On the Convergence and Complexity of Proximal Gradient and Accelerated Proximal Gradient Methods under Adaptive Gradient Estimation
by: Bollapragada, Raghu, et al.
Published: (2025)
by: Bollapragada, Raghu, et al.
Published: (2025)
First- and Second-Order Stochastic Adaptive Regularization with Cubics: High Probability Iteration and Sample Complexity
by: Scheinberg, Katya, et al.
Published: (2023)
by: Scheinberg, Katya, et al.
Published: (2023)
On the resolution of $\ell_1$-norm minimization via a two-metric adaptive projection method
by: Wu, Hanju, et al.
Published: (2025)
by: Wu, Hanju, et al.
Published: (2025)
Similar Items
-
Convergence analysis of a Tikhonov regularized inertial dynamical system and algorithm for convex optimization problems
by: Sun, Xiangkai, et al.
Published: (2025) -
Tikhonov regularized inertial primal-dual dynamics for convex-concave bilinear saddle point problems
by: Sun, Xiangkai, et al.
Published: (2024) -
Tikhonov regularization of second-order plus first-order primal-dual dynamical systems for separable convex optimization
by: Sun, Xiangkai, et al.
Published: (2024) -
On the convergence of an inertial proximal algorithm with a Tikhonov regularization term
by: László, Szilárd Csaba
Published: (2023) -
Inertial primal-dual dynamics with Hessian-driven damping and Tikhonov regularization for convex-concave bilinear saddle point problems
by: Sun, Xiangkai, et al.
Published: (2024)