ResearchTrend.AI
Efficient posterior sampling for high-dimensional imbalanced logistic regression

Efficient posterior sampling for high-dimensional imbalanced logistic regression

Deborshee Sen
Matthias Sachs
Jianfeng Lu
David B. Dunson
ArXivPDFHTML

Papers citing "Efficient posterior sampling for high-dimensional imbalanced logistic regression"

4 / 4 papers shown
Title
Pigeonhole Stochastic Gradient Langevin Dynamics for Large Crossed Mixed Effects Models
Pigeonhole Stochastic Gradient Langevin Dynamics for Large Crossed Mixed Effects Models
Xinyu Zhang
Cheng Li
46
0
0
18 Dec 2022
On explicit $L^2$-convergence rate estimate for piecewise deterministic Markov processes in MCMC algorithms
On explicit L2L^2-convergence rate estimate for piecewise deterministic Markov processes in MCMC algorithms
Jianfeng Lu
Lihan Wang
38
27
0
29 Jul 2020
Stochastic gradient Markov chain Monte Carlo
Stochastic gradient Markov chain Monte Carlo
Christopher Nemeth
Paul Fearnhead
BDL
32
135
0
16 Jul 2019
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data
J. Bierkens
Paul Fearnhead
Gareth O. Roberts
58
231
0
11 Jul 2016