Saved in:
| Main Authors: | Hnatiuk, Arsen, Walter, Daniel |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.03459 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
On the proximal point algorithm for strongly quasiconvex functions in Hadamard spaces
by: Pischke, Nicholas
Published: (2024)
by: Pischke, Nicholas
Published: (2024)
Proximal gradient methods in Banach spaces
by: Wachsmuth, Gerd, et al.
Published: (2025)
by: Wachsmuth, Gerd, et al.
Published: (2025)
Gradient-free algorithm for saddle point problems under overparametrization
by: Statkevich, Ekaterina, et al.
Published: (2024)
by: Statkevich, Ekaterina, et al.
Published: (2024)
Mean-square and linear convergence of a stochastic proximal point algorithm in metric spaces of nonpositive curvature
by: Pischke, Nicholas
Published: (2025)
by: Pischke, Nicholas
Published: (2025)
Inexact JKO and proximal-gradient algorithms in the Wasserstein space
by: Di Marino, Simone, et al.
Published: (2025)
by: Di Marino, Simone, et al.
Published: (2025)
Convergence of zeroth-order proximal point algorithms in the high-temperature regime
by: Naldi, Emanuele, et al.
Published: (2026)
by: Naldi, Emanuele, et al.
Published: (2026)
Outer-space branch-and-bound algorithm for generalized linear multiplicative programs
by: Zhang, Bo
Published: (2023)
by: Zhang, Bo
Published: (2023)
H-invariance theory: A complete characterization of minimax optimal fixed-point algorithms
by: Yoon, TaeHo, et al.
Published: (2025)
by: Yoon, TaeHo, et al.
Published: (2025)
A relaxed proximal point algorithm with double-inertial effects for nonconvex equilibrium problems
by: Van Tran, Nam
Published: (2025)
by: Van Tran, Nam
Published: (2025)
A smoothing Anderson acceleration algorithm for nonsmooth fixed point problem with linear convergence
by: Li, Zekai, et al.
Published: (2024)
by: Li, Zekai, et al.
Published: (2024)
Weak convergence of the stochastic proximal point method in metric spaces
by: Pischke, Nicholas
Published: (2026)
by: Pischke, Nicholas
Published: (2026)
Variance reduction techniques for stochastic proximal point algorithms
by: Traoré, Cheik, et al.
Published: (2023)
by: Traoré, Cheik, et al.
Published: (2023)
Efficient algorithms for implementing incremental proximal-point methods
by: Shtoff, Alex
Published: (2022)
by: Shtoff, Alex
Published: (2022)
Convergence analysis for a variant of manifold proximal point algorithm based on Kurdyka-Łojasiewicz property
by: Yu, Peiran, et al.
Published: (2025)
by: Yu, Peiran, et al.
Published: (2025)
Adaptive primal dual hybrid gradient algorithms based on average spectrum for saddle point problems
by: Xu, Shengjie, et al.
Published: (2026)
by: Xu, Shengjie, et al.
Published: (2026)
An inexact golden ratio primal-dual algorithm with linesearch step for a saddle point problem
by: Fang, Changjie, et al.
Published: (2024)
by: Fang, Changjie, et al.
Published: (2024)
Non-ergodic convergence rate of an inertial accelerated primal-dual algorithm for saddle point problems
by: He, X., et al.
Published: (2023)
by: He, X., et al.
Published: (2023)
Convergence guarantees for stochastic algorithms solving non-unique problems in metric spaces
by: Pischke, Nicholas, et al.
Published: (2026)
by: Pischke, Nicholas, et al.
Published: (2026)
A strongly convergent inertial inexact proximal-point algorithm for monotone inclusions with applications to variational inequalities
by: Alves, M. Marques, et al.
Published: (2024)
by: Alves, M. Marques, et al.
Published: (2024)
First-order algorithms for robust optimization problems via convex-concave saddle-point Lagrangian reformulation
by: Postek, Krzysztof, et al.
Published: (2021)
by: Postek, Krzysztof, et al.
Published: (2021)
An adaptive cubic regularisation algorithm based on interior point methods for solving nonlinear inequality constrained optimization
by: Pei, Yonggang, et al.
Published: (2024)
by: Pei, Yonggang, et al.
Published: (2024)
A convex combination based primal-dual algorithm with linesearch for general convex-concave saddle point problems
by: Chang, Xiaokai, et al.
Published: (2024)
by: Chang, Xiaokai, et al.
Published: (2024)
The latent variable proximal point algorithm for variational problems with inequality constraints
by: Dokken, Jørgen S., et al.
Published: (2025)
by: Dokken, Jørgen S., et al.
Published: (2025)
Approximating the common fixed point of enriched interpolative matkowski type mapping in Banach space
by: Tyagi, Akansha, et al.
Published: (2024)
by: Tyagi, Akansha, et al.
Published: (2024)
A Consensus-based optimization algorithm using Gaussian processes for global optimization problems in Sobolev spaces
by: Khatab, Mahmoud, et al.
Published: (2026)
by: Khatab, Mahmoud, et al.
Published: (2026)
Convergence of trust-region algorithms in metric spaces
by: Manns, Paul
Published: (2024)
by: Manns, Paul
Published: (2024)
An adjacency-based algorithm for computing all extreme-supported non-dominated points of a bi-objective combinatorial optimisation problem
by: Bachtler, Oliver, et al.
Published: (2026)
by: Bachtler, Oliver, et al.
Published: (2026)
Negative curvature obstructs the existence of good barriers for interior-point methods
by: Criscitiello, Christopher, et al.
Published: (2026)
by: Criscitiello, Christopher, et al.
Published: (2026)
A topological derivative-based algorithm to solve optimal control problems with $L^0(Ω)$ control cost
by: Wachsmuth, Daniel
Published: (2022)
by: Wachsmuth, Daniel
Published: (2022)
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces
by: Kamoutsi, Angeliki, et al.
Published: (2024)
by: Kamoutsi, Angeliki, et al.
Published: (2024)
Augmented Lagrangian methods for infeasible convex optimization problems and diverging proximal-point algorithms
by: Andrews, Roland, et al.
Published: (2025)
by: Andrews, Roland, et al.
Published: (2025)
Viscosity Iterative algorithm for solving Variational Inclusion and Fixed point problems involving Multivalued Quasi-Nonexpansive and Demicontractive Operators in real Hilbert Space
by: Mendy, Furmose, et al.
Published: (2025)
by: Mendy, Furmose, et al.
Published: (2025)
Robustness of quantum algorithms against coherent control errors
by: Berberich, Julian, et al.
Published: (2023)
by: Berberich, Julian, et al.
Published: (2023)
Convergence result for the gradient-push algorithm and its application to boost up the Push-DIging algorithm
by: Choi, Hyogi, et al.
Published: (2024)
by: Choi, Hyogi, et al.
Published: (2024)
An online optimization algorithm for tracking a linearly varying optimal point with zero steady-state error
by: Wu, Alex Xinting, et al.
Published: (2024)
by: Wu, Alex Xinting, et al.
Published: (2024)
Distributed fixed-point algorithms for dynamic convex optimization over decentralized and unbalanced wireless networks
by: Agrawal, Navneet, et al.
Published: (2024)
by: Agrawal, Navneet, et al.
Published: (2024)
Provably convergent stochastic fixed-point algorithm for free-support Wasserstein barycenter of continuous non-parametric measures
by: Chen, Zeyi, et al.
Published: (2025)
by: Chen, Zeyi, et al.
Published: (2025)
Some iterative algorithms on Riemannian manifolds and Banach spaces with good global convergence guarantee
by: Truong, Tuyen Trung
Published: (2025)
by: Truong, Tuyen Trung
Published: (2025)
Adaptive control mechanisms in gradient descent algorithms
by: Iannelli, Andrea
Published: (2025)
by: Iannelli, Andrea
Published: (2025)
Contractive difference-of-convex algorithms
by: He, Songnian, et al.
Published: (2025)
by: He, Songnian, et al.
Published: (2025)
Similar Items
-
On the proximal point algorithm for strongly quasiconvex functions in Hadamard spaces
by: Pischke, Nicholas
Published: (2024) -
Proximal gradient methods in Banach spaces
by: Wachsmuth, Gerd, et al.
Published: (2025) -
Gradient-free algorithm for saddle point problems under overparametrization
by: Statkevich, Ekaterina, et al.
Published: (2024) -
Mean-square and linear convergence of a stochastic proximal point algorithm in metric spaces of nonpositive curvature
by: Pischke, Nicholas
Published: (2025) -
Inexact JKO and proximal-gradient algorithms in the Wasserstein space
by: Di Marino, Simone, et al.
Published: (2025)