An Effective Iterative Solution for Independent Vector Analysis with Convergence Guarantees
Fuente:
arXiv
Saved in:
| Main Authors: | Cosserat, Clément, Gabrielson, Ben, Chouzenoux, Emilie, Pesquet, Jean-Christophe, Adali, Tülay |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stability Bounds for the Unfolded Forward-Backward Algorithm
by: Chouzenoux, Emilie, et al.
Published: (2024)
by: Chouzenoux, Emilie, et al.
Published: (2024)
Variable Bregman Majorization-Minimization algorithms for nonconvex nonsmooth optimization, with application to Poisson imaging
by: Adly, Maxence, et al.
Published: (2026)
by: Adly, Maxence, et al.
Published: (2026)
A Novel Variational Approach for Multiphoton Microscopy Image Restoration: from PSF Estimation to 3D Deconvolution
by: Ajdenbaum, Julien, et al.
Published: (2023)
by: Ajdenbaum, Julien, et al.
Published: (2023)
Sparse Graphical Linear Dynamical Systems
by: Chouzenoux, Emilie, et al.
Published: (2023)
by: Chouzenoux, Emilie, et al.
Published: (2023)
An adaptive forward-backward-forward splitting algorithm for solving pseudo-monotone inclusions
by: Chorobura, Flavia, et al.
Published: (2025)
by: Chorobura, Flavia, et al.
Published: (2025)
Variable Bregman Majorization-Minimization Algorithm and its Application to Dirichlet Maximum Likelihood Estimation
by: Martin, Ségolène, et al.
Published: (2025)
by: Martin, Ségolène, et al.
Published: (2025)
A novel sequential method for building upper and lower bounds of moments of distributions
by: Martin, Solal, et al.
Published: (2025)
by: Martin, Solal, et al.
Published: (2025)
Learning truly monotone operators with applications to nonlinear inverse problems
by: Belkouchi, Younes, et al.
Published: (2024)
by: Belkouchi, Younes, et al.
Published: (2024)
A stochastic use of the Kurdyka-Lojasiewicz property: Investigation of optimization algorithms behaviours in a non-convex differentiable framework
by: Fest, Jean-Baptiste, et al.
Published: (2023)
by: Fest, Jean-Baptiste, et al.
Published: (2023)
A divergence-based condition to ensure quantile improvement in black-box global optimization
by: Guilmeau, Thomas, et al.
Published: (2024)
by: Guilmeau, Thomas, et al.
Published: (2024)
On the Convergence of the Accelerated Riccati Iteration Method
by: Rajasingam, Prasanthan, et al.
Published: (2017)
by: Rajasingam, Prasanthan, et al.
Published: (2017)
Probabilistic Framework of Howard's Policy Iteration: BML Evaluation and Robust Convergence Analysis
by: Wang, Yutian, et al.
Published: (2022)
by: Wang, Yutian, et al.
Published: (2022)
Strong Convergence of FISTA Iterates under H{ö}lderian and Quadratic Growth Conditions
by: Aujol, Jean-François, et al.
Published: (2024)
by: Aujol, Jean-François, et al.
Published: (2024)
Incremental Policy Iteration for Unknown Nonlinear Systems with Stability and Performance Guarantees
by: Meng, Qingkai, et al.
Published: (2025)
by: Meng, Qingkai, 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)
Last-Iterate Convergence of Anchored Gradient Descent
by: Cai, Yang, et al.
Published: (2026)
by: Cai, Yang, et al.
Published: (2026)
On Convergence of the Iteratively Preconditioned Gradient-Descent (IPG) Observer
by: Chakrabarti, Kushal, et al.
Published: (2024)
by: Chakrabarti, Kushal, et al.
Published: (2024)
The Iterates of Nesterov's Accelerated Algorithm Converge in The Critical Regimes
by: Bot, Radu Ioan, et al.
Published: (2025)
by: Bot, Radu Ioan, et al.
Published: (2025)
Computing Competitive Equilibrium for Chores: Linear Convergence and Lightweight Iteration
by: Chen, He, et al.
Published: (2024)
by: Chen, He, et al.
Published: (2024)
Robust Sparse Phase Retrieval: Statistical Guarantee, Optimality Theory and Convergent Algorithm
by: Fan, Jun, et al.
Published: (2025)
by: Fan, Jun, et al.
Published: (2025)
Memory-Reduced Meta-Learning with Guaranteed Convergence
by: Yang, Honglin, et al.
Published: (2024)
by: Yang, Honglin, et al.
Published: (2024)
MAP Estimation with Denoisers: Convergence Rates and Guarantees
by: Pesme, Scott, et al.
Published: (2025)
by: Pesme, Scott, et al.
Published: (2025)
Learning to Pursue AC Optimal Power Flow Solutions with Feasibility Guarantees
by: Ajeyemi, Damola, et al.
Published: (2025)
by: Ajeyemi, Damola, et al.
Published: (2025)
Deep Koopman Iterative Learning and Stability-Guaranteed Control for Unknown Nonlinear Time-Varying Systems
by: Zhang, Hengde, et al.
Published: (2026)
by: Zhang, Hengde, et al.
Published: (2026)
Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification
by: Meng, Yiming, et al.
Published: (2024)
by: Meng, Yiming, et al.
Published: (2024)
On Separation Between Best-Iterate, Random-Iterate, and Last-Iterate Convergence of Learning in Games
by: Cai, Yang, et al.
Published: (2025)
by: Cai, Yang, et al.
Published: (2025)
Approximate Solutions in Linear Fractional Vector Optimization
by: Huong, Nguyen Thi Thu
Published: (2024)
by: Huong, Nguyen Thi Thu
Published: (2024)
Self-tuned Regularized Federated Methods with Guarantees for Optimal Solution Selection
by: Ebrahimi, Mohammadjavad, et al.
Published: (2025)
by: Ebrahimi, Mohammadjavad, et al.
Published: (2025)
Outer Approximation Scheme for Weakly Convex Constrained Optimization Problems
by: Bednarczuk, Ewa M., et al.
Published: (2024)
by: Bednarczuk, Ewa M., et al.
Published: (2024)
Convergence of the Iterates for Momentum and RMSProp for Local Smooth Functions: Adaptation is the Key
by: Bensaid, Bilel, et al.
Published: (2024)
by: Bensaid, Bilel, et al.
Published: (2024)
Noise Resilience and Robust Convergence Guarantees for the Variational Quantum Eigensolver
by: Legnini, Mirko, et al.
Published: (2026)
by: Legnini, Mirko, et al.
Published: (2026)
Robust Constrained Consensus and Inequality-constrained Distributed Optimization with Guaranteed Differential Privacy and Accurate Convergence
by: Wang, Yongqiang, et al.
Published: (2024)
by: Wang, Yongqiang, et al.
Published: (2024)
Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees
by: Deng, Yuyang, et al.
Published: (2024)
by: Deng, Yuyang, et al.
Published: (2024)
Subspace Optimization for Large Language Models with Convergence Guarantees
by: He, Yutong, et al.
Published: (2024)
by: He, Yutong, et al.
Published: (2024)
Adam-family Methods for Nonsmooth Optimization with Convergence Guarantees
by: Xiao, Nachuan, et al.
Published: (2023)
by: Xiao, Nachuan, et al.
Published: (2023)
Learning Over-Relaxation Policies for ADMM with Convergence Guarantees
by: Lin, Junan, et al.
Published: (2026)
by: Lin, Junan, et al.
Published: (2026)
Distributed Gradient Tracking Methods with Guarantees for Computing a Solution to Stochastic MPECs
by: Ebrahimi, Mohammadjavad, et al.
Published: (2023)
by: Ebrahimi, Mohammadjavad, et al.
Published: (2023)
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)
Last Iterate Convergence of Popov Method for Non-monotone Stochastic Variational Inequalities
by: Vankov, Daniil, et al.
Published: (2023)
by: Vankov, Daniil, et al.
Published: (2023)
Last Iterate Convergence of AdaGrad-Norm for Convex Non-Smooth Optimization
by: Preobrazhenskaia, Margarita, et al.
Published: (2026)
by: Preobrazhenskaia, Margarita, et al.
Published: (2026)
Similar Items
-
Stability Bounds for the Unfolded Forward-Backward Algorithm
by: Chouzenoux, Emilie, et al.
Published: (2024) -
Variable Bregman Majorization-Minimization algorithms for nonconvex nonsmooth optimization, with application to Poisson imaging
by: Adly, Maxence, et al.
Published: (2026) -
A Novel Variational Approach for Multiphoton Microscopy Image Restoration: from PSF Estimation to 3D Deconvolution
by: Ajdenbaum, Julien, et al.
Published: (2023) -
Sparse Graphical Linear Dynamical Systems
by: Chouzenoux, Emilie, et al.
Published: (2023) -
An adaptive forward-backward-forward splitting algorithm for solving pseudo-monotone inclusions
by: Chorobura, Flavia, et al.
Published: (2025)