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Zhang et al., 2020 - Google Patents

Privately learning Markov random fields

Zhang et al., 2020

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Document ID
475336770159969613
Author
Zhang H
Kamath G
Kulkarni J
Wu S
Publication year
Publication venue
International conference on machine learning

External Links

Snippet

We consider the problem of learning Markov Random Fields (including the prototypical example, the Ising model) under the constraint of differential privacy. Our learning goals include both\emph {structure learning}, where we try to estimate the underlying graph …
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    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
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