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In 2016, Karney proposed an exact sampling algorithm for the standard normal distribution.
Various techniques used in connection with random digits
John von Neumann · 1951
Earlier work this paper cites.
Algorithms and Complexity: New Directions and Recent Results
D. Knuth and A. Yao · 1976
Earlier work this paper cites.
Non-Uniform Random Variate Generation
Luc Devroye · 1986
Earlier work this paper cites.
The complexity of generating an exponentially distributed variate
Philippe Flajolet and Nasser Saheb · 1986
Earlier work this paper cites.
Trapdoors for hard lattices and new cryptographic constructions
Craig Gentry, Chris Peikert, and Vinod Vaikuntanathan · 2008
Cited alongside, same era.
Sampling from discrete gaussians for lattice-based cryptography on a constrained device
Nagarjun C. Dwarakanath and Steven D. Galbraith · 2014
Cited alongside, same era.
Sampling exactly from the normal distribution
Charles F. Karney · 2016
Cited alongside, same era.
The expected bit complexity of the von neumann rejection algorithm
Luc Devroye and Claude Gravel · 2017
Later among the works it cites.
Gaussian sampling over the integers: Efficient, generic, constant-time
Daniele Micciancio and Michael Walter · 2017
Later among the works it cites.
FACCT: fast, compact, and constant-time discrete gaussian sampler over integers
Raymond K. Zhao, Ron Steinfeld, and Amin Sakzad · 2020
Closest in time.
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