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DiscreteKernelPointProcesses

Working examples of the paper entitled "A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence," by Takahiro Kawashima & Hidetsu Hino, accepted at AISTATS 2025.

Working Directory

Set your working directory at scripts/.

Recommended Environments

All the program are implemented in Julia. Julia ≥ 1.10.0 and compatible packages are recommended.

Codes for the Examples

File Description
scripts/ex_posneg_probs.jl Example on the controllability of positive and negative dependence (Sec.6.1, Fig.1)
scripts/ex_Z.jl Example on the approximation of the normalizing constant (Sec.6.2, Fig.2--3)
scripts/ex_is_variance_of_logZ.jl Example on the approximation of the normalizing constant (Sec.6.2, Fig.4)
scripts/ex_learning_amazon.jl Example on learning with the Amazon Baby Registry Dataset (Sec.6.3, Fig.5--6)

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Discrete Kernel Point Processes

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