ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2405.14778
  4. Cited By
Optimal Rates for Vector-Valued Spectral Regularization Learning
  Algorithms

Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms

23 May 2024
Dimitri Meunier
Zikai Shen
Mattes Mollenhauer
Arthur Gretton
Zhu Li
ArXivPDFHTML

Papers citing "Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms"

3 / 3 papers shown
Title
Overcoming Saturation in Density Ratio Estimation by Iterated
  Regularization
Overcoming Saturation in Density Ratio Estimation by Iterated Regularization
Lukas Gruber
Markus Holzleitner
Johannes Lehner
Sepp Hochreiter
Werner Zellinger
51
1
0
21 Feb 2024
Learning linear operators: Infinite-dimensional regression as a
  well-behaved non-compact inverse problem
Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem
Mattes Mollenhauer
Nicole Mücke
T. Sullivan
30
24
0
16 Nov 2022
Conditional mean embeddings as regressors - supplementary
Conditional mean embeddings as regressors - supplementary
Steffen Grunewalder
Guy Lever
Luca Baldassarre
Sam Patterson
Arthur Gretton
Massimiliano Pontil
85
143
0
21 May 2012
1