15 citations · 15 across the 4 of their papers we have counts for
4 papers
Empirical Bayes Predictive Density Estimation under Covariate Shift in Large Imbalanced Linear Mixed Models
Abir Sarkar, Gourab Mukherjee, Keisuke Yano
We study empirical Bayes (EB) predictive density estimation in linear mixed models (LMMs) with large number of units, which induce a high dimensional random effects space. Focusing…
Neural Architectures for Amortized Bayesian Inference: Statistical Foundations and Empirical Assessments
Roy Shivam Ram Shreshtth, Arnab Hazra, Gourab Mukherjee
Since the turn of the century, approximate Bayesian inference has steadily evolved as new computational techniques have been incorporated to handle increasingly complex, large-scal…
Semi-Supervised Learning of Noisy Mixture of Experts Models
Oh-Ran Kwon, Gourab Mukherjee, Jacob Bien
The mixture of experts (MoE) model is a versatile framework for predictive modeling that has gained renewed interest in the age of large language models. A collection of predictive…
Generative AI for Data Science 101: Coding Without Learning To Code
Jacob Bien, Gourab Mukherjee
Should one teach coding in a required introductory statistics and data science class for non-major students? Many professors advise against it, considering it a distraction from th…