:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autor principal:	Hendrikx, Hadrien
Formato:	Preprint
Publicado:	2024
Materias:	Optimization and Control
Acceso en línea:	https://arxiv.org/abs/2404.12213
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

The Relative Gaussian Mechanism and its Application to Private Gradient Descent
por: Hendrikx, Hadrien, et al.
Publicado: (2023)

Unified Breakdown Analysis for Byzantine Robust Gossip
por: Gaucher, Renaud, et al.
Publicado: (2024)

From Inexact Gradients to Byzantine Robustness: Acceleration and Optimization under Similarity
por: Gaucher, Renaud, et al.
Publicado: (2026)

Convergence of projected stochastic natural gradient variational inference for various step size and sample or batch size schedules
por: Guilmeau, Thomas, et al.
Publicado: (2026)

A Mirror Descent Perspective of Smoothed Sign Descent
por: Wang, Shuyang, et al.
Publicado: (2024)

Lipschitz-Free Mirror Descent Methods for Non-Smooth Optimization Problems
por: Yuan, Bowen, et al.
Publicado: (2025)

Mirror Descent for Deterministic Optimal Control
por: Feng, Ye, et al.
Publicado: (2026)

Lipschitz-Free Mirror Descent Methods for Relatively Strongly Convex Functions with/without Absolute and Relative Inexactness
por: Alkousa, Mohammad S., et al.
Publicado: (2026)

Parameter-free Mirror Descent
por: Jacobsen, Andrew, et al.
Publicado: (2022)

Mirror Descent on Riemannian Manifolds
por: Jiang, Jiaxin, et al.
Publicado: (2026)

Accelerated Mirror Descent for Non-Euclidean Star-convex Functions
por: Lezane, Clement, et al.
Publicado: (2024)

Accelerated Mirror Descent Method through Variable and Operator Splitting
por: Chen, Long, et al.
Publicado: (2026)

Shuffling Gradient Descent-Ascent with Variance Reduction for Nonconvex-Strongly Concave Smooth Minimax Problems
por: Jiang, Xia, et al.
Publicado: (2024)

Gradient Descent for Convex and Smooth Noisy Optimization
por: Hu, Feifei, et al.
Publicado: (2024)

Value Mirror Descent for Reinforcement Learning
por: Jia, Zhichao, et al.
Publicado: (2026)

Mirror Descent on Reproducing Kernel Banach Spaces
por: Kumar, Akash, et al.
Publicado: (2024)

Mirror and Preconditioned Gradient Descent in Wasserstein Space
por: Bonet, Clément, et al.
Publicado: (2024)

On the Convergence of Policy in Unregularized Policy Mirror Descent
por: Lin, Dachao, et al.
Publicado: (2022)

Decentralized Relaxed Smooth Optimization with Gradient Descent Methods
por: Jiang, Zhanhong, et al.
Publicado: (2025)

Implicit Bias and Convergence of Matrix Stochastic Mirror Descent
por: Akhtiamov, Danil, et al.
Publicado: (2026)

On the Convergence of Policy Mirror Descent with Temporal Difference Evaluation
por: Liu, Jiacai, et al.
Publicado: (2025)

Mirror Descent Methods with Weighting Scheme for Outputs for Constrained Variational Inequality Problems
por: Alkousa, Mohammad S., et al.
Publicado: (2025)

Robust Analysis of Almost Sure Convergence of Zeroth-Order Mirror Descent Algorithm
por: Paul, Anik Kumar, et al.
Publicado: (2023)

Efficient Online Mirror Descent Stochastic Approximation for Multi-Stage Stochastic Programming
por: Zhang, Junhui, et al.
Publicado: (2025)

The Randomized Block Coordinate Descent Method in the Hölder Smooth Setting
por: Maia, Leandro Farias, et al.
Publicado: (2024)

Generalized Stochastic Gradient Descent with Momentum Methods for Smooth Optimization
por: Wang, Zimeng, et al.
Publicado: (2026)

Inertial Accelerated Stochastic Mirror Descent for Large-Scale Generalized Tensor CP Decomposition
por: Liu, Zehui, et al.
Publicado: (2024)

Almost Sure Convergence and Non-asymptotic Concentration Bounds for Stochastic Mirror Descent Algorithm
por: Paul, Anik Kumar, et al.
Publicado: (2024)

Primal-dual Accelerated Mirror-Descent Method for Constrained Bilinear Saddle-Point Problems
por: Li, Weijian, et al.
Publicado: (2024)

Convergence Rate Bounds for the Mirror Descent Method: IQCs, Popov Criterion and Bregman Divergence
por: Li, Mengmou, et al.
Publicado: (2023)

Convergence of Policy Mirror Descent Beyond Compatible Function Approximation
por: Sherman, Uri, et al.
Publicado: (2025)

Stochastic Mirror Descent under Iterate-Dependent Markov Noise: Analysis in the Asymptotic and Finite Time Regimes
por: Paul, Anik Kumar, et al.
Publicado: (2026)

Toward a Unified Theory of Gradient Descent under Generalized Smoothness
por: Tyurin, Alexander
Publicado: (2024)

Optimal Convergence Rate for Mirror Descent Methods with special Time-Varying Step Sizes Rules
por: Alkousa, Mohammad, et al.
Publicado: (2024)

Mirror Descent-Type Algorithms for the Variational Inequality Problem with Functional Constraints
por: Alkousa, Mohammad S., et al.
Publicado: (2026)

Stable Phase Retrieval with Mirror Descent
por: Godeme, Jean-Jacques, et al.
Publicado: (2024)

Provable Phase Retrieval with Mirror Descent
por: Godeme, Jean-Jacques, et al.
Publicado: (2022)

Mirror Descent-Ascent for mean-field min-max problems
por: Lascu, Razvan-Andrei, et al.
Publicado: (2024)

High-Probability Guarantees for Random Zeroth-Order Gradient Descent on Smooth Functions
por: Ye, Haishan
Publicado: (2026)

Convergence Analysis of Stochastic Saddle Point Mirror Descent Algorithm -- A Projected Dynamical View Point
por: Paul, Anik Kumar, et al.
Publicado: (2024)