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Kernel Mean Estimation and Stein's Effect

Kernel Mean Estimation and Stein's Effect

4 June 2013
Krikamol Muandet
Kenji Fukumizu
Bharath K. Sriperumbudur
Arthur Gretton
Bernhard Schölkopf
ArXivPDFHTML

Papers citing "Kernel Mean Estimation and Stein's Effect"

6 / 6 papers shown
Title
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via
  Leverage Scores Sampling
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling
Antoine Chatalic
Nicolas Schreuder
E. De Vito
Lorenzo Rosasco
27
3
0
22 Nov 2023
SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot
  Learning
SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning
Tao Zhang
Wu Huang
21
2
0
30 May 2023
Variance-Aware Estimation of Kernel Mean Embedding
Variance-Aware Estimation of Kernel Mean Embedding
Geoffrey Wolfer
Pierre Alquier
29
4
0
13 Oct 2022
Kernel Relative-prototype Spectral Filtering for Few-shot Learning
Kernel Relative-prototype Spectral Filtering for Few-shot Learning
Tao Zhang
Wu Huang
16
13
0
24 Jul 2022
Kernel Mean Estimation via Spectral Filtering
Kernel Mean Estimation via Spectral Filtering
Krikamol Muandet
Bharath K. Sriperumbudur
Bernhard Schölkopf
36
14
0
04 Nov 2014
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
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