Latest Articles for Convergence Rates

This study examines how delays affect stochastic approximation in reinforcement learning.

An overview of tools aiding quantum system simulations.

Learn about methods to find optimal solutions in various fields.

A look at how the Mb-SVRN method enhances data optimization and analysis.

New algorithms integrate high-order methods for efficient optimization.

An overview of finite-volume schemes and their applications in numerical analysis.

This article discusses variational inequalities and their importance in optimization and machine learning.

This article reviews numerical methods for elliptic PDEs, focusing on collocation and neural networks.

A new approach to optimization allows better analysis of diverse step sizes.

Exploring the role of generalized metric subregularity in enhancing numerical optimization techniques.

This article examines Adagrad's efficacy and its advantages over standard methods in large batch training.

A look into the Trotter-Kato splitting method and its role in quantum mechanics.

A new method for estimating high density regions in complex datasets.

A study on using dynamic systems to locate operator zeros efficiently.

Analyzing Proper Orthogonal Decomposition's performance excluding difference quotients.

Strategies for optimal control in uncertain dynamic systems.

New insights into PDHG algorithm enhance efficiency in solving complex optimization problems.

A look at the reflective block Kaczmarz algorithm and its applications.

This study investigates eigenvalue changes in domains with periodic holes.

A look into kernel regression's challenges and insights in high-dimensional settings.

Learn how groups evolve opinions and reach agreements effectively.

A guide to uniform estimation and inference methods in nonparametric statistics.

An overview of the Oseen eigenvalue problem and its significance in fluid dynamics.

Introducing a reliable method for assessing RL algorithm performance through a gap function.

New methods enhance distributed optimization while preserving agent data privacy.

New methods make complex optimization problems easier and faster to solve.

Discover how adaptive MCMC adjusts settings for effective problem-solving.

Discover the evolution of bilevel optimization and its impact on various fields.

Explore the world of stochastic differential equations and their complex dynamics.

Discover how researchers tackle complex mysteries in science and engineering.

Discover how diffusion processes shape movement and spread across various fields.