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Linear-time Learning on Distributions with Approximate Kernel Embeddings
v1v2 (latest)

Linear-time Learning on Distributions with Approximate Kernel Embeddings

24 September 2015
Danica J. Sutherland
Junier B. Oliva
Barnabás Póczós
J. Schneider
ArXiv (abs)PDFHTML

Papers citing "Linear-time Learning on Distributions with Approximate Kernel Embeddings"

4 / 4 papers shown
Title
Transparent Single-Cell Set Classification with Kernel Mean Embeddings
Transparent Single-Cell Set Classification with Kernel Mean Embeddings
Siyuan Shan
Vishal Baskaran
Haidong Yi
Jolene S Ranek
Natalie Stanley
Junier Oliva
70
11
0
18 Jan 2022
NEWMA: a new method for scalable model-free online change-point
  detection
NEWMA: a new method for scalable model-free online change-point detection
Nicolas Keriven
Damien Garreau
Iacopo Poli
98
40
0
21 May 2018
Compressive K-means
Compressive K-means
Nicolas Keriven
Nicolas M Tremblay
Y. Traonmilin
Rémi Gribonval
93
53
0
27 Oct 2016
Sketching for Large-Scale Learning of Mixture Models
Sketching for Large-Scale Learning of Mixture Models
Nicolas Keriven
Anthony Bourrier
Rémi Gribonval
Patrick Pérez
76
75
0
09 Jun 2016
1