:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ren, Lianhai, Li, Qianxiao
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning Optimization and Control
Accès en ligne:	https://arxiv.org/abs/2409.19561
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Linear convergence of forward-backward accelerated algorithms without knowledge of the modulus of strong convexity
par: Li, Bowen, et autres
Publié: (2023)

Accelerated forward-backward and Douglas-Rachford splitting dynamics
par: Ozaslan, Ibrahim K., et autres
Publié: (2024)

Finite-sample guarantees for data-driven forward-backward operator methods
par: Fabiani, Filippo, et autres
Publié: (2025)

Stochastic forward-backward-half forward splitting algorithm with variance reduction
par: Qin, Liqian, et autres
Publié: (2023)

A unified framework for establishing the universal approximation of transformer-type architectures
par: Cheng, Jingpu, et autres
Publié: (2025)

Terminally constrained flow-based generative models from an optimal control perspective
par: Gao, Weiguo, et autres
Publié: (2026)

Gaussian process policy iteration with additive Schwarz acceleration for forward and inverse HJB and mean field game problems
par: Yang, Xianjin, et autres
Publié: (2025)

An adaptive forward-backward-forward splitting algorithm for solving pseudo-monotone inclusions
par: Chorobura, Flavia, et autres
Publié: (2025)

Conditionally adaptive augmented Lagrangian method for physics-informed learning of forward and inverse problems
par: Hu, Qifeng, et autres
Publié: (2025)

A reflected forward-backward splitting algorithmic framework
par: Zheng, Haowen, et autres
Publié: (2026)

Efficient model predictive control for nonlinear systems modelled by deep neural networks
par: Lan, Jianglin
Publié: (2024)

Approximate non-linear model predictive control with safety-augmented neural networks
par: Hose, Henrik, et autres
Publié: (2023)

A Unified Framework for Analyzing Meta-algorithms in Online Convex Optimization
par: Pedramfar, Mohammad, et autres
Publié: (2024)

Early predicting of hospital admission using machine learning algorithms: Priority queues approach
par: Antczak, Jakub, et autres
Publié: (2026)

Continuous-time q-learning for mean-field control with common noise, part-II: q-learning algorithms
par: Ren, Zhenjie, et autres
Publié: (2026)

A kernel-based PEM estimator for forward models
par: Fattore, Giulio, et autres
Publié: (2024)

Soft regression trees: a model variant and a decomposition training algorithm
par: Consolo, Antonio, et autres
Publié: (2025)

A global stochastic maximum principle for delayed forward-backward stochastic control systems
par: Li, Feng
Publié: (2026)

A primal-dual backward reflected forward splitting algorithm for structured monotone inclusions
par: Bang, Vu Cong, et autres
Publié: (2024)

Frugal forward-backward splitting methods with deviations
par: Fu, Yongyu, et autres
Publié: (2025)

A randomized algorithm for nonconvex minimization with inexact evaluations and complexity guarantees
par: Li, Shuyao, et autres
Publié: (2023)

Attention's forward pass and Frank-Wolfe
par: Alcalde, Albert, et autres
Publié: (2025)

An asynchronous, forward-backward, distributed generalized Nash equilibrium seeking algorithm
par: Cenedese, Carlo, et autres
Publié: (2019)

Smart energy management: process structure-based hybrid neural networks for optimal scheduling and economic predictive control in integrated systems
par: Wu, Long, et autres
Publié: (2024)

An optimal control perspective on diffusion-based generative modeling
par: Berner, Julius, et autres
Publié: (2022)

Full error analysis of policy gradient learning algorithms for exploratory linear quadratic mean-field control problem in continuous time with common noise
par: Frikha, Noufel, et autres
Publié: (2024)

A flexible block-coordinate forward-backward algorithm for non-smooth and non-convex optimization
par: Briceño-Arias, Luis, et autres
Publié: (2025)

A Unified Analysis for Finite Weight Averaging
par: Wang, Peng, et autres
Publié: (2024)

Decision-focused predictions via pessimistic bilevel optimization: complexity and algorithms
par: Bucarey, Víctor, et autres
Publié: (2023)

Dynamic robotic cloth folding with efficient Koopman operator-based model predictive control
par: Caldarelli, Edoardo, et autres
Publié: (2026)

Multiscale replay: A robust algorithm for stochastic variational inequalities with a Markovian buffer
par: Nakul, Milind, et autres
Publié: (2026)

Unifying Distributionally Robust Optimization via Optimal Transport Theory
par: Blanchet, Jose, et autres
Publié: (2023)

Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers
par: Li, Runjia, et autres
Publié: (2024)

Riemannian coordinate descent algorithms on matrix manifolds
par: Han, Andi, et autres
Publié: (2024)

TS-RSR: A provably efficient approach for batch Bayesian Optimization
par: Ren, Zhaolin, et autres
Publié: (2024)

Fine-tuning of diffusion models via stochastic control: entropy regularization and beyond
par: Tang, Wenpin, et autres
Publié: (2024)

Variance reduction techniques for stochastic proximal point algorithms
par: Traoré, Cheik, et autres
Publié: (2023)

Efficient algorithms for implementing incremental proximal-point methods
par: Shtoff, Alex
Publié: (2022)

Primal-dual algorithm for contextual stochastic combinatorial optimization
par: Bouvier, Louis, et autres
Publié: (2025)

Mean-field neural networks-based algorithms for McKean-Vlasov control problems *
par: Pham, Huyên, et autres
Publié: (2022)