Jihao Long

Ruimeng Hu

SIAM J. Numer. Anal., February, 2024

A Duality Analysis of Kernel Ridge Regression in the Noiseless Regime.

[BibT_eX]

[DOI]

Xiaojun Peng

CoRR, 2024

2023

Learning Free Terminal Time Optimal Closed-loop Control of Manipulators.

[BibT_eX]

[DOI]

CoRR, 2023

The L<sup>∞</sup> Learnability of Reproducing Kernel Hilbert Spaces.

[BibT_eX]

[DOI]

Hongrui Chen

CoRR, 2023

A duality framework for generalization analysis of random feature models and two-layer neural networks.

[BibT_eX]

[DOI]

Hongrui Chen

CoRR, 2023

Reinforcement Learning with Function Approximation: From Linear to Nonlinear.

[BibT_eX]

[DOI]

CoRR, 2023

2022

A spectral-based analysis of the separation between two-layer neural networks and linear methods.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

A Machine Learning Enhanced Algorithm for the Optimal Landing Problem.

[BibT_eX]

[DOI]

Proceedings of the Mathematical and Scientific Machine Learning, 2022

2021

Perturbational Complexity by Distribution Mismatch: A Systematic Analysis of Reinforcement Learning in Reproducing Kernel Hilbert Space.

[BibT_eX]

[DOI]

CoRR, 2021

Linear approximability of two-layer neural networks: A comprehensive analysis based on spectral decay.

[BibT_eX]

[DOI]

CoRR, 2021

A Class of Dimensionality-free Metrics for the Convergence of Empirical Measures.

[BibT_eX]

[DOI]

Ruimeng Hu

CoRR, 2021

An L<sup>2</sup> Analysis of Reinforcement Learning in High Dimensions with Kernel and Neural Network Approximation.

[BibT_eX]

[DOI]

Weinan E

CoRR, 2021

2020

Convergence of Deep Fictitious Play for Stochastic Differential Games.

[BibT_eX]

[DOI]

Ruimeng Hu

CoRR, 2020

2018

Convergence of the Deep BSDE Method for Coupled FBSDEs.

[BibT_eX]

[DOI]