An Abstract Stochastic Haugazeau Method for Best Approximation
Fuente:
arXiv
Saved in:
| Main Author: | Madariaga, Javier I. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Convergence of the Iterates of the Stochastic Proximal Gradient Method
by: Madariaga, Javier I.
Published: (2026)
by: Madariaga, Javier I.
Published: (2026)
Asymptotic Analysis of an Abstract Stochastic Scheme for Solving Monotone Inclusions
by: Combettes, Patrick L., et al.
Published: (2025)
by: Combettes, Patrick L., et al.
Published: (2025)
A Geometric Framework for Stochastic Iterations
by: Combettes, Patrick L., et al.
Published: (2025)
by: Combettes, Patrick L., et al.
Published: (2025)
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)
Best Approximation Optimal Control for Infeasible Double Integrator and Douglas--Rachford Algorithm
by: Burachik, Regina S., et al.
Published: (2026)
by: Burachik, Regina S., et al.
Published: (2026)
Stochastic Approximation Methods for Distortion Risk Measure Optimization
by: Jiang, Jinyang, et al.
Published: (2025)
by: Jiang, Jinyang, et al.
Published: (2025)
Stackelberg-Nash Controllability for Abstract Stochastic Evolution Equations and Applications
by: Elgrou, Abdellatif, et al.
Published: (2025)
by: Elgrou, Abdellatif, et al.
Published: (2025)
The Black-Box Optimization Problem: Zero-Order Accelerated Stochastic Method via Kernel Approximation
by: Lobanov, Aleksandr, et al.
Published: (2023)
by: Lobanov, Aleksandr, et al.
Published: (2023)
Sketching the Best Approximate Quantum Compiling Problem
by: Madden, Liam, et al.
Published: (2022)
by: Madden, Liam, et al.
Published: (2022)
Stochastic Approximation Proximal Subgradient Method for Stochastic Convex-Concave Minimax Optimization
by: Dai, Yu-Hong, et al.
Published: (2024)
by: Dai, Yu-Hong, et al.
Published: (2024)
Efficient Online Mirror Descent Stochastic Approximation for Multi-Stage Stochastic Programming
by: Zhang, Junhui, et al.
Published: (2025)
by: Zhang, Junhui, et al.
Published: (2025)
Best Response Convergence for Zero-sum Stochastic Dynamic Games with Partial and Asymmetric Information
by: Guan, Yuxiang, et al.
Published: (2025)
by: Guan, Yuxiang, et al.
Published: (2025)
Probabilistic Lookahead Strong Branching via a Stochastic Abstract Branching Model
by: Mexi, Gioni, et al.
Published: (2023)
by: Mexi, Gioni, et al.
Published: (2023)
On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation
by: Kwon, Jeongyeol, et al.
Published: (2023)
by: Kwon, Jeongyeol, et al.
Published: (2023)
Approximate Resolution of Stochastic Choice-based Discrete Planning
by: Zhang, Jiajie, et al.
Published: (2024)
by: Zhang, Jiajie, et al.
Published: (2024)
Stochastic Approximation and Brownian Repulsion based Evolutionary Search
by: Dutta, Rajdeep, et al.
Published: (2024)
by: Dutta, Rajdeep, et al.
Published: (2024)
Mixed-Integer Linear Programming Approximations for the Stochastic Knapsack
by: Rossi, Roberto, et al.
Published: (2025)
by: Rossi, Roberto, et al.
Published: (2025)
A Generalized Analytical Framework for the Nonlinear Best-Worst Method
by: Ratandhara, Harshit M., et al.
Published: (2025)
by: Ratandhara, Harshit M., et al.
Published: (2025)
First and Second Order Approximations to Stochastic Gradient Descent Methods with Momentum Terms
by: Lu, Eric
Published: (2025)
by: Lu, Eric
Published: (2025)
Equilibrium Invariance, Proximality, and Surrogation: Moreau-Smoothed Best-Response Pathways in Stochastic Nonsmooth Games
by: Xiao, Zhuoyu, et al.
Published: (2026)
by: Xiao, Zhuoyu, et al.
Published: (2026)
Approximate Controllability of Nonlocal Stochastic Integrodifferential System in Hilbert Spaces
by: LY, Mamadou Pathe, et al.
Published: (2026)
by: LY, Mamadou Pathe, et al.
Published: (2026)
Approximating the Uniform Value in Hidden Stochastic Games with Doeblin Conditions
by: Chatterjee, Krishnendu, et al.
Published: (2026)
by: Chatterjee, Krishnendu, et al.
Published: (2026)
Approximate Controllability of Stochastic Hemivariational Control problem in Hilbert spaces
by: Kumbhakar, Bholanath, et al.
Published: (2025)
by: Kumbhakar, Bholanath, et al.
Published: (2025)
Large Deviations Analysis For Regret Minimizing Stochastic Approximation Algorithms
by: Qian, Hongjiang, et al.
Published: (2024)
by: Qian, Hongjiang, et al.
Published: (2024)
Stochastic Average Model Methods
by: Menickelly, Matt, et al.
Published: (2022)
by: Menickelly, Matt, et al.
Published: (2022)
Partially Observed Optimal Stochastic Control: Regularity, Optimality, Approximations, and Learning
by: Kara, Ali Devran, et al.
Published: (2024)
by: Kara, Ali Devran, et al.
Published: (2024)
Tame Riemannian Stochastic Approximation
by: Aspman, Johannes, et al.
Published: (2023)
by: Aspman, Johannes, et al.
Published: (2023)
Exponential Concentration in Stochastic Approximation
by: Law, Kody, et al.
Published: (2022)
by: Law, Kody, et al.
Published: (2022)
Revisiting the Constant Stepsize Stochastic Approximation with Decision-Dependent Markovian Noise
by: Hadavi, Hadi, et al.
Published: (2026)
by: Hadavi, Hadi, et al.
Published: (2026)
Reducing Contextual Stochastic Bilevel Optimization via Structured Function Approximation
by: Bouscary, Maxime, et al.
Published: (2025)
by: Bouscary, Maxime, et al.
Published: (2025)
Stochastic Approximation for Expectation Objective and Expectation Inequality-Constrained Nonconvex Optimization
by: Facchinei, Francisco, et al.
Published: (2023)
by: Facchinei, Francisco, et al.
Published: (2023)
Markovian Foundations for Quasi-Stochastic Approximation in Two Timescales: Extended Version
by: Lauand, Caio Kalil, et al.
Published: (2024)
by: Lauand, Caio Kalil, et al.
Published: (2024)
A Quadratic-Approximation-Based Stochastic Approximation Method for Weakly Convex Stochastic Programming
by: Zhang, Yule, et al.
Published: (2026)
by: Zhang, Yule, et al.
Published: (2026)
Scalable Two-Stage Stochastic Optimal Power Flow via Separable Approximation
by: Lamichhane, Shishir, et al.
Published: (2025)
by: Lamichhane, Shishir, et al.
Published: (2025)
Gaussian Approximation and Multiplier Bootstrap for Federated Linear Stochastic Approximation
by: Levin, Ilya, et al.
Published: (2026)
by: Levin, Ilya, et al.
Published: (2026)
Subspace Quasi-Newton Method with Gradient Approximation
by: Miyaishi, Taisei, et al.
Published: (2024)
by: Miyaishi, Taisei, et al.
Published: (2024)
Clustering-based Low Rank Approximation Method
by: Zhu, Yujun, et al.
Published: (2025)
by: Zhu, Yujun, et al.
Published: (2025)
Stochastic Graphon Games with Jumps and Approximate Nash Equilibria
by: Amini, Hamed, et al.
Published: (2023)
by: Amini, Hamed, et al.
Published: (2023)
Methods for Solving Variational Inequalities with Markovian Stochasticity
by: Solodkin, Vladimir, et al.
Published: (2024)
by: Solodkin, Vladimir, et al.
Published: (2024)
Universal Gradient Methods for Stochastic Convex Optimization
by: Rodomanov, Anton, et al.
Published: (2024)
by: Rodomanov, Anton, et al.
Published: (2024)
Similar Items
-
Convergence of the Iterates of the Stochastic Proximal Gradient Method
by: Madariaga, Javier I.
Published: (2026) -
Asymptotic Analysis of an Abstract Stochastic Scheme for Solving Monotone Inclusions
by: Combettes, Patrick L., et al.
Published: (2025) -
A Geometric Framework for Stochastic Iterations
by: Combettes, Patrick L., et al.
Published: (2025) -
Almost-Surely Convergent Randomly Activated Monotone Operator Splitting Methods
by: Combettes, Patrick L., et al.
Published: (2024) -
Best Approximation Optimal Control for Infeasible Double Integrator and Douglas--Rachford Algorithm
by: Burachik, Regina S., et al.
Published: (2026)