PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference

26 September 2017

Papers citing "PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference"

7 / 7 papers shown

Title
Noise-Aware Differentially Private Variational Inference Talal Alrawajfeh Joonas Jälkö Antti Honkela 32 0 0 25 Oct 2024
Orthogonal Polynomials Approximation Algorithm (OPAA):a functional analytic approach to estimating probability densities Lilian W. Bialokozowicz TPM 20 0 0 16 Nov 2022
Nonnegative spatial factorization F. W. Townes Barbara E. Engelhardt 11 11 0 12 Oct 2021
Differentially Private Bayesian Inference for Generalized Linear Models Tejas D. Kulkarni Joonas Jälkö A. Koskela Samuel Kaski Antti Honkela 18 31 0 01 Nov 2020
Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees Jonathan H. Huggins Trevor Campbell Mikolaj Kasprzak Tamara Broderick 24 15 0 26 Jun 2018
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data J. Bierkens Paul Fearnhead Gareth O. Roberts 58 232 0 11 Jul 2016
Likelihood Inflating Sampling Algorithm R. Entezari Radu V. Craiu Jeffrey S. Rosenthal 45 22 0 06 May 2016