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A Bayesian coreset is a small, weighted subset of data that replaces the full dataset during Bayesian inference, with the goal of reducing computational cost.
A stochastic approximation method
Herbert Robbins and Sutton Monro · 1951
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Luke Tierney and Joseph Kadane · 1986
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Radford Neal · 1996
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Radford Neal · 2011
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Matthew Hoffmann, David Blei, Chong Wang, and John Paisley · 2013
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Anoop Korattikara, Yutian Chen, and Max Welling · 2014
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Bob Carpenter, Andrew Gelman, Matthew Hoffman, Daniel Lee, Ben Goodrich, Michael Betancourt, Marcus Brubaker, Jiqiang Guo, Peter Li, and Allen Riddell · 2017
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Bayesian coreset construction via greedy iterative geodesic ascent
Trevor Campbell and Tamara Broderick · 2018
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Aılım Güneş Baydin, Barak Pearlmutter, Alexey Radul, and Jeffrey Siskind · 2018
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