Savitsky, Terrance D.

3 publications

JMLR 2022 Bayesian Pseudo Posterior Mechanism Under Asymptotic Differential Privacy Terrance D. Savitsky, Matthew R.Williams, Jingchen Hu

JMLR 2022 Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior Rajarshi Guhaniyogi, Cheng Li, Terrance D. Savitsky, Sanvesh Srivastava

JMLR 2016 Scalable Approximate Bayesian Inference for Outlier Detection Under Informative Sampling Terrance D. Savitsky