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

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

15 May 2022
Yiping Lu
Jose H. Blanchet
Lexing Ying
ArXivPDFHTML

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

2 / 2 papers shown
Title
Monte Carlo Neural PDE Solver for Learning PDEs via Probabilistic Representation
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
Statistical Learning and Inverse Problems: A Stochastic Gradient Approach
Yuri S. Fonseca
Yuri F. Saporito
22
4
0
29 Sep 2022
1