Differentially Private Bayesian Inference for Generalized Linear Models
Tejas Kulkarni 1 Joonas Jalko 1 Antti Koskela 2 Samuel Kaski 1 3 Antti Honkela 2
Abstract on the regression coefficients, such as determining which
Generalized linear models (GLMs) such as logis- coefficients can be confidently inferred to be different from
tic regression are among the most widely used zero.
arms in data analyst’s repertoire and often used ...
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