3 papers
cs.LG2022
Behavior of Hyper-Parameters for Selected Machine Learning Algorithms: An Empirical Investigation
Anwesha Bhattacharyya, Joel Vaughan, Vijayan N. Nair
Hyper-parameters (HPs) are an important part of machine learning (ML) model development and can greatly influence performance. This paper studies their behavior for three algorithm…
stat.ME2019
Bayesian Analysis of High-dimensional Discrete Graphical Models
Anwesha Bhattacharyya, Yves Atchade
This work introduces a Bayesian methodology for fitting large discrete graphical models with spike-and-slab priors to encode sparsity. We consider a quasi-likelihood approach that…
math.ST2018
An approach to large-scale Quasi-Bayesian inference with spike-and-slab priors
Yves Atchade, Anwesha Bhattacharyya
We propose a general framework using spike-and-slab prior distributions to aid with the development of high-dimensional Bayesian inference. Our framework allows inference with a ge…