DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution
Regression

DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression

15 February 2016

Jovana Mitrović

Dino Sejdinovic

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Papers citing "DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression"

11 / 11 papers shown

Title
On the Error of Random Fourier Features Danica J. Sutherland J. Schneider 86 192 0 09 Jun 2015
Optimal Rates for Random Fourier Features Bharath K. Sriperumbudur Z. Szabó 88 130 0 06 Jun 2015
Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages Wittawat Jitkrittum Arthur Gretton N. Heess S. M. Ali Eslami Balaji Lakshminarayanan Dino Sejdinovic Z. Szabó 93 33 0 09 Mar 2015
On the Equivalence between Kernel Quadrature Rules and Random Feature Expansions Francis R. Bach 81 34 0 24 Feb 2015
K2-ABC: Approximate Bayesian Computation with Kernel Embeddings Mijung Park Wittawat Jitkrittum Dino Sejdinovic 68 10 0 09 Feb 2015
A la Carte - Learning Fast Kernels Zichao Yang Alex Smola Le Song A. Wilson 89 133 0 19 Dec 2014
Fastfood: Approximate Kernel Expansions in Loglinear Time Quoc V. Le Tamás Sarlós Alex Smola 95 444 0 13 Aug 2014
Kernel Approximate Bayesian Computation for Population Genetic Inferences Shigeki Nakagome Kenji Fukumizu S. Mano 65 59 0 15 May 2012
A Comparative Review of Dimension Reduction Methods in Approximate Bayesian Computation M. Blum M. Nunes D. Prangle Scott A. Sisson 198 364 0 16 Feb 2012
Universality, Characteristic Kernels and RKHS Embedding of Measures Bharath K. Sriperumbudur Kenji Fukumizu Gert R. G. Lanckriet 224 531 0 03 Mar 2010
Non-linear regression models for Approximate Bayesian Computation M. Blum O. François 225 484 0 24 Sep 2008