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The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise
  Interactions in High Dimensions

The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions

16 May 2019
Raj Agrawal
Jonathan H. Huggins
Brian L. Trippe
Tamara Broderick
ArXivPDFHTML

Papers citing "The Kernel Interaction Trick: Fast Bayesian Discovery of Pairwise Interactions in High Dimensions"

4 / 4 papers shown
Title
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix
C. Margossian
Lawrence K. Saul
73
2
0
14 Oct 2024
Controlling the false discovery rate via knockoffs
Controlling the false discovery rate via knockoffs
Rina Foygel Barber
Emmanuel J. Candès
216
749
0
22 Apr 2014
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian
  Monte Carlo
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
Matthew D. Hoffman
Andrew Gelman
162
4,300
0
18 Nov 2011
Optimal scaling and diffusion limits for the Langevin algorithm in high
  dimensions
Optimal scaling and diffusion limits for the Langevin algorithm in high dimensions
Natesh S. Pillai
Andrew M. Stuart
Alexandre Hoang Thiery
87
99
0
02 Mar 2011
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