Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent

15 May 2022

Papers citing "Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent"

5 / 5 papers shown

Title
On Bellman equations for continuous-time policy evaluation I: discretization and approximation Wenlong Mou Yuhua Zhu OffRL 40 2 0 08 Jul 2024
Statistical Spatially Inhomogeneous Diffusion Inference Yinuo Ren Yiping Lu Lexing Ying Grant M. Rotskoff 10 2 0 10 Dec 2023
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation Rui Zhang Qi Meng Rongchan Zhu Yue Wang Wenlei Shi Shihua Zhang Zhi-Ming Ma Tie-Yan Liu DiffM AI4CE 44 4 0 10 Feb 2023
Statistical Learning and Inverse Problems: A Stochastic Gradient Approach Yuri S. Fonseca Yuri F. Saporito 37 4 0 29 Sep 2022
Minimax Optimal Kernel Operator Learning via Multilevel Training Jikai Jin Yiping Lu Jose H. Blanchet Lexing Ying 20 11 0 28 Sep 2022