On the Almost Sure Convergence of the Stochastic Three Points Algorithm
Fuente:
arXiv
Saved in:
| Main Authors: | Kadi, Taha El Bakkali El, Saadi, Omar |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stochastic Optimization with Random Search
by: Chayti, El Mahdi, et al.
Published: (2025)
by: Chayti, El Mahdi, et al.
Published: (2025)
Nonsmooth Optimization with Zeroth Order Comparison Feedback
by: Bakkali, Taha El, et al.
Published: (2026)
by: Bakkali, Taha El, et al.
Published: (2026)
Stochastic Zeroth-Order Optimization Under Heavy-Tailed Noise
by: Bakkali, Taha El, et al.
Published: (2026)
by: Bakkali, Taha El, et al.
Published: (2026)
Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization
by: Bakkali, Taha El, et al.
Published: (2026)
by: Bakkali, Taha El, et al.
Published: (2026)
Almost Sure Convergence and Non-asymptotic Concentration Bounds for Stochastic Mirror Descent Algorithm
by: Paul, Anik Kumar, et al.
Published: (2024)
by: Paul, Anik Kumar, et al.
Published: (2024)
Generalized Smooth Stochastic Variational Inequalities: Almost Sure Convergence and Convergence Rates
by: Vankov, Daniil, et al.
Published: (2024)
by: Vankov, Daniil, et al.
Published: (2024)
Almost Sure Convergence of Stochastic Approximation: An Interplay of Noise and Step Size
by: Nguyen, Quang Dinh Thien, et al.
Published: (2026)
by: Nguyen, Quang Dinh Thien, et al.
Published: (2026)
Robust Analysis of Almost Sure Convergence of Zeroth-Order Mirror Descent Algorithm
by: Paul, Anik Kumar, et al.
Published: (2023)
by: Paul, Anik Kumar, et al.
Published: (2023)
Almost Sure Convergence Analysis of Differentially Private Stochastic Gradient Methods
by: Mukherjee, Amartya, et al.
Published: (2025)
by: Mukherjee, Amartya, et al.
Published: (2025)
Regret Analysis with Almost Sure Convergence for OBF-ARX Filter
by: Li, Jiayun, et al.
Published: (2024)
by: Li, Jiayun, et al.
Published: (2024)
Almost Sure Convergence Rates and Concentration of Stochastic Approximation and Reinforcement Learning with Markovian Noise
by: Qian, Xiaochi, et al.
Published: (2024)
by: Qian, Xiaochi, et al.
Published: (2024)
Almost-Surely Convergent Randomly Activated Monotone Operator Splitting Methods
by: Combettes, Patrick L., et al.
Published: (2024)
by: Combettes, Patrick L., et al.
Published: (2024)
Sum-of-Squares Certificates for Almost-Sure Reachability of Stochastic Polynomial Systems
by: Kordabad, Arash Bahari, et al.
Published: (2025)
by: Kordabad, Arash Bahari, et al.
Published: (2025)
Almost Sure Convergence Rates of Stochastic Approximation and Reinforcement Learning via a Poisson-Moreau Drift
by: Liu, Xinyu, et al.
Published: (2026)
by: Liu, Xinyu, et al.
Published: (2026)
Almost Sure Convergence of Networked Policy Gradient over Time-Varying Networks in Markov Potential Games
by: Aydin, Sarper, et al.
Published: (2024)
by: Aydin, Sarper, et al.
Published: (2024)
Almost Surely $\sqrt{T}$ Regret for Adaptive LQR
by: Lu, Yiwen, et al.
Published: (2023)
by: Lu, Yiwen, et al.
Published: (2023)
Dual Averaging Converges for Nonconvex Smooth Stochastic Optimization
by: Liu, Tuo, et al.
Published: (2025)
by: Liu, Tuo, et al.
Published: (2025)
Convergence Analysis of Stochastic Saddle Point Mirror Descent Algorithm -- A Projected Dynamical View Point
by: Paul, Anik Kumar, et al.
Published: (2024)
by: Paul, Anik Kumar, et al.
Published: (2024)
A New First-Order Meta-Learning Algorithm with Convergence Guarantees
by: Chayti, El Mahdi, et al.
Published: (2024)
by: Chayti, El Mahdi, et al.
Published: (2024)
Unified Convergence Theory of Stochastic and Variance-Reduced Cubic Newton Methods
by: Chayti, El Mahdi, et al.
Published: (2023)
by: Chayti, El Mahdi, et al.
Published: (2023)
Maximum Load Assortment Optimization: Approximation Algorithms and Adaptivity Gaps
by: Housni, Omar El, et al.
Published: (2023)
by: Housni, Omar El, et al.
Published: (2023)
On the Convergence Analysis of an Inexact Preconditioned Stochastic Model-Based Algorithm
by: Bao, Chenglong, et al.
Published: (2025)
by: Bao, Chenglong, et al.
Published: (2025)
A Simple Linear Convergence Analysis of the Point-SAGA Algorithm
by: Condat, Laurent, et al.
Published: (2024)
by: Condat, Laurent, et al.
Published: (2024)
Convergence rates for an inexact linearized ADMM for nonsmooth nonconvex optimization with nonlinear equality constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2025)
by: Bourkhissi, Lahcen El, et al.
Published: (2025)
A New Convergence Analysis of Two Stochastic Frank-Wolfe Algorithms
by: Boonsiriphatthanajaroen, Natthawut, et al.
Published: (2025)
by: Boonsiriphatthanajaroen, Natthawut, et al.
Published: (2025)
Convergence analysis of linearized $\ell_q$ penalty methods for nonconvex optimization with nonlinear equality constraints
by: Bourkhissi, Lahcen El, et al.
Published: (2025)
by: Bourkhissi, Lahcen El, et al.
Published: (2025)
Explicit Convergence Rate of The Proximal Point Algorithm under R-Continuity
by: Le, Ba Khiet, et al.
Published: (2024)
by: Le, Ba Khiet, et al.
Published: (2024)
An Almost Feasible Sequential Linear Programming Algorithm
by: Kiessling, David, et al.
Published: (2024)
by: Kiessling, David, et al.
Published: (2024)
Two-sided Assortment Optimization: Adaptivity Gaps and Approximation Algorithms
by: Housni, Omar El, et al.
Published: (2024)
by: Housni, Omar El, et al.
Published: (2024)
Convergence Rate of the Last Iterate of Stochastic Proximal Algorithms
by: Vaidyan, Kevin Kurian Thomas, et al.
Published: (2026)
by: Vaidyan, Kevin Kurian Thomas, et al.
Published: (2026)
Stochastic Compositional Optimization via Hybrid Momentum Frank--Wolfe
by: Chayti, El Mahdi
Published: (2026)
by: Chayti, El Mahdi
Published: (2026)
Optimal Primal-Dual Algorithm with Last iterate Convergence Guarantees for Stochastic Convex Optimization Problems
by: Boob, Digvijay, et al.
Published: (2024)
by: Boob, Digvijay, et al.
Published: (2024)
Connections Between Determinantal Point Processes and Gramians in Control
by: Kazma, Mohamad H., et al.
Published: (2026)
by: Kazma, Mohamad H., et al.
Published: (2026)
Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization
by: Gong, Xiaochuan, et al.
Published: (2025)
by: Gong, Xiaochuan, et al.
Published: (2025)
A Convergence-Guaranteed Algorithm for Stochastic Optimal Control Problems
by: Amidzadeh, Mohsen
Published: (2026)
by: Amidzadeh, Mohsen
Published: (2026)
Stochastic Difference-of-Convex Optimization with Momentum
by: Chayti, El Mahdi, et al.
Published: (2025)
by: Chayti, El Mahdi, et al.
Published: (2025)
A Markovian Approach for Cross-Category Complementarity in Choice Modeling
by: Housni, Omar El, et al.
Published: (2025)
by: Housni, Omar El, et al.
Published: (2025)
Assortment Optimization under the Multinomial Logit Model with Covering Constraints
by: Housni, Omar El, et al.
Published: (2024)
by: Housni, Omar El, et al.
Published: (2024)
Compressed Momentum-based Single-Point Zeroth-Order Algorithm for Stochastic Distributed Nonconvex Optimization
by: Chen, Linjing, et al.
Published: (2025)
by: Chen, Linjing, et al.
Published: (2025)
Convergence of the Iterates of the Stochastic Proximal Gradient Method
by: Madariaga, Javier I.
Published: (2026)
by: Madariaga, Javier I.
Published: (2026)
Similar Items
-
Stochastic Optimization with Random Search
by: Chayti, El Mahdi, et al.
Published: (2025) -
Nonsmooth Optimization with Zeroth Order Comparison Feedback
by: Bakkali, Taha El, et al.
Published: (2026) -
Stochastic Zeroth-Order Optimization Under Heavy-Tailed Noise
by: Bakkali, Taha El, et al.
Published: (2026) -
Noisy Pairwise-Comparison Random Search for Smooth Nonconvex Optimization
by: Bakkali, Taha El, et al.
Published: (2026) -
Almost Sure Convergence and Non-asymptotic Concentration Bounds for Stochastic Mirror Descent Algorithm
by: Paul, Anik Kumar, et al.
Published: (2024)