3 citations · 7 across the 7 of their papers we have counts for
4 papers · 1 filter
Convergence rate of a collapsed Gibbs sampler for crossed random effects models
Swarnadip Ghosh, Chenyang Zhong
In this paper, we analyze the convergence rate of a collapsed Gibbs sampler for crossed random effects models. Our results apply to a substantially larger range of models than prev…
Efficient Estimation in Tensor Ising Models
Somabha Mukherjee, Jaesung Son, Swarnadip Ghosh +1
The tensor Ising model is a discrete exponential family used for modeling binary data on networks with not just pairwise, but higher-order dependencies. A particularly important cl…
Feature Selection in High-dimensional Spaces Using Graph-Based Methods
Swarnadip Ghosh, Somabha Mukherjee, Divyansh Agarwal +3
High-dimensional feature selection is a central problem in a variety of application domains such as machine learning, image analysis, and genomics. In this paper, we propose graph-…
Scalable logistic regression with crossed random effects
Swarnadip Ghosh, Trevor Hastie, Art B. Owen
The cost of both generalized least squares (GLS) and Gibbs sampling in a crossed random effects model can easily grow faster than for observations. Ghosh et al. (2020…