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Stochastic Gradient Descent in Hilbert Scales: Smoothness,
  Preconditioning and Earlier Stopping

Stochastic Gradient Descent in Hilbert Scales: Smoothness, Preconditioning and Earlier Stopping

18 June 2020
Nicole Mücke
Enrico Reiss
ArXivPDFHTML

Papers citing "Stochastic Gradient Descent in Hilbert Scales: Smoothness, Preconditioning and Earlier Stopping"

2 / 2 papers shown
Title
Statistical inverse learning problems with random observations
Statistical inverse learning problems with random observations
Abhishake
T. Helin
Nicole Mucke
13
1
0
23 Dec 2023
Sobolev Acceleration and Statistical Optimality for Learning Elliptic
  Equations via Gradient Descent
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
Yiping Lu
Jose H. Blanchet
Lexing Ying
38
7
0
15 May 2022
1