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

Yiping Lu 0001, José H. Blanchet, Lexing Ying. Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

@inproceedings{0001BY22-0,
  title = {Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent},
  author = {Yiping Lu 0001 and José H. Blanchet and Lexing Ying},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/d6c53fe062716387ff0df73cc53de60c-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/0001BY22-0},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
  editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
  isbn = {9781713871088},
}