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Antithetic and Monte Carlo kernel estimators for partial rankings
v1v2 (latest)

Antithetic and Monte Carlo kernel estimators for partial rankings

1 July 2018
Maria Lomeli
Mark Rowland
Arthur Gretton
Zoubin Ghahramani
ArXiv (abs)PDFHTML

Papers citing "Antithetic and Monte Carlo kernel estimators for partial rankings"

5 / 5 papers shown
Title
On kernel methods for covariates that are rankings
On kernel methods for covariates that are rankings
Horia Mania
Aaditya Ramdas
Martin J. Wainwright
Michael I. Jordan
Benjamin Recht
50
22
0
25 Mar 2016
Bayesian nonparametric Plackett-Luce models for the analysis of
  preferences for college degree programmes
Bayesian nonparametric Plackett-Luce models for the analysis of preferences for college degree programmes
François Caron
Yee Whye Teh
T. B. Murphy
64
55
0
21 Nov 2012
Equivalence of distance-based and RKHS-based statistics in hypothesis
  testing
Equivalence of distance-based and RKHS-based statistics in hypothesis testing
Dino Sejdinovic
Bharath K. Sriperumbudur
Arthur Gretton
Kenji Fukumizu
221
687
0
25 Jul 2012
Super-Samples from Kernel Herding
Super-Samples from Kernel Herding
Yutian Chen
Max Welling
Alex Smola
164
342
0
15 Mar 2012
Universality, Characteristic Kernels and RKHS Embedding of Measures
Universality, Characteristic Kernels and RKHS Embedding of Measures
Bharath K. Sriperumbudur
Kenji Fukumizu
Gert R. G. Lanckriet
224
531
0
03 Mar 2010
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