Image de couverture de livre

Nonlinear Optimization Filters for Stochastic Time-Varying Convex Optimization

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Simonetto, Andrea, Massioni, Paolo
Format:	Preprint
Publié:	2023
Sujets:	Optimization and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Distributed Prediction-Correction ADMM for Time-Varying Convex Optimization
par: Bastianello, Nicola, et autres
Publié: (2020)

Prediction-Correction Splittings for Nonsmooth Time-Varying Optimization
par: Bastianello, Nicola, et autres
Publié: (2019)

High-Resolution Inertial Dynamics with Time-Rescaled Gradients for Nonsmooth Convex Optimization
par: Le, Manh Hung, et autres
Publié: (2026)

Prediction-Correction for Nonsmooth Time-Varying Optimization via Forward-Backward Envelopes
par: Bastianello, Nicola, et autres
Publié: (2019)

No-Regret Gaussian Process Optimization of Time-Varying Functions
par: Mauduit, Eliabelle, et autres
Publié: (2025)

Flexible Optimization for Cyber-Physical and Human Systems
par: Simonetto, Andrea
Publié: (2024)

Stochastic Decentralized Optimization of Non-Smooth Convex and Convex-Concave Problems over Time-Varying Networks
par: Divilkovskiy, Maxim, et autres
Publié: (2025)

$\mathcal{L}_{1}$ Adaptive Optimizer for Online Time-Varying Convex Optimization
par: Kim, Jinrae, et autres
Publié: (2024)

Time-varying Gaussian Process Bandit Optimization with Experts: no-regret in logarithmically-many side queries
par: Mauduit, Eliabelle, et autres
Publié: (2025)

Convex Synthesis of First-Order Methods for Time-Varying Smooth Strongly Convex Optimization
par: Van Scoy, Bryan, et autres
Publié: (2026)

Prediction-Correction Algorithm for Time-Varying Smooth Non-Convex Optimization
par: Iwakiri, Hidenori, et autres
Publié: (2024)

Distributed Event-Triggered Bandit Convex Optimization with Time-Varying Constraints
par: Zhang, Kunpeng, et autres
Publié: (2024)

Nonlinear Perturbation-based Non-Convex Optimization over Time-Varying Networks
par: Doostmohammadian, Mohammadreza, et autres
Publié: (2024)

Decentralized Optimization over Time-Varying Row-Stochastic Digraphs
par: Liang, Liyuan, et autres
Publié: (2025)

Projection-Free Online Convex Optimization with Time-Varying Constraints
par: Garber, Dan, et autres
Publié: (2024)

Time-Varying Convex Optimization with $O(n)$ Computational Complexity
par: Rostami, M., et autres
Publié: (2024)

Time-Varying Convex Optimization: A Contraction and Equilibrium Tracking Approach
par: Davydov, Alexander, et autres
Publié: (2023)

Distributed Stochastic Block Coordinate Descent for Time-Varying Multi-Agent Optimization
par: Yu, Zhan, et autres
Publié: (2019)

Time-Varying Distributed Optimization for A Class of Stochastic Multi-Agent Systems
par: Li, Wan-ying, et autres
Publié: (2025)

Universal Gradient Methods for Stochastic Convex Optimization
par: Rodomanov, Anton, et autres
Publié: (2024)

Stochastic Difference-of-Convex Optimization with Momentum
par: Chayti, El Mahdi, et autres
Publié: (2025)

The Price of Adaptivity in Stochastic Convex Optimization
par: Carmon, Yair, et autres
Publié: (2024)

Sequential Convex Programming with Filtering-Based Warm-Starting for Continuous-Time Multiagent Quadrotor Trajectory Optimization
par: Yuan, Minsen, et autres
Publié: (2025)

The Internal Model Principle of Time-Varying Optimization
par: Bianchin, Gianluca, et autres
Publié: (2024)

A Zeroth-order Proximal Stochastic Gradient Method for Weakly Convex Stochastic Optimization
par: Pougkakiotis, Spyridon, et autres
Publié: (2022)

Incentives and co-evolution: Steering linear dynamical systems with noncooperative agents
par: Fabiani, Filippo, et autres
Publié: (2023)

Unsafe Probabilities and Risk Contours for Stochastic Processes using Convex Optimization
par: Miller, Jared, et autres
Publié: (2024)

A Convex Optimization Framework for Computing Robustness Margins of Kalman Filters
par: Prabhat, Himanshu, et autres
Publié: (2024)

Optimal Rates for Robust Stochastic Convex Optimization
par: Gao, Changyu, et autres
Publié: (2024)

Deterministic and Stochastic Accelerated Gradient Method for Convex Semi-Infinite Optimization
par: Yao, Yao, et autres
Publié: (2023)

Hinge-Proximal Stochastic Gradient Methods for Convex Optimization with Functional Constraints
par: Rajoriya, Vaibhav, et autres
Publié: (2025)

Faster Stochastic ADMM for Nonsmooth Composite Convex Optimization in Hilbert Space
par: Deng, Weihua, et autres
Publié: (2026)

Stochastic Non-Smooth Non-Convex Optimization with Decision-Dependent Distributions
par: Liu, Chengchang, et autres
Publié: (2026)

Differentiability and Regularization of Parametric Convex Value Functions in Stochastic Multistage Optimization
par: Franc, Adrien Le, et autres
Publié: (2022)

Particle Filter Optimization: A Bayesian Approach for Global Stochastic Optimization
par: Eslami, Mostafa, et autres
Publié: (2024)

Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems
par: Buckingham, Jack M., et autres
Publié: (2024)

Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks
par: Kovalev, Dmitry, et autres
Publié: (2024)

A Class of Convex Optimization-Based Recursive Algorithms for Identification of Stochastic Systems
par: Ding, Mingxia, et autres
Publié: (2024)

Distributed Time-Varying Optimization via Unbiased Extremum Seeking
par: Li, Xuebin, et autres
Publié: (2025)

Distributed Optimization with Coupled Constraints over Time-Varying Digraph
par: Kim, Yeong-Ung, et autres
Publié: (2026)