Differentially Private Bayesian Inference for Generalized Linear Models.
Tejas KulkarniJoonas JälköAntti KoskelaSamuel KaskiAntti HonkelaPublished in: ICML (2021)
Keyphrases
- bayesian inference
- differentially private
- generalized linear models
- regression model
- logistic regression
- dirichlet process
- probabilistic model
- variational inference
- differential privacy
- prior information
- linear regression
- bayesian model
- statistical inference
- hyperparameters
- markov chain monte carlo
- high dimensional
- model selection
- machine learning
- data sets
- least squares
- information extraction
- information retrieval
- data mining