30 citations · 119 across the 39 of their papers we have counts for
6 papers · 1 filter
Targeted Random Projection for Prediction from High-Dimensional Features
Minerva Mukhopadhyay, David B. Dunson
We consider the problem of computationally-efficient prediction from high dimensional and highly correlated predictors in challenging settings where accurate variable selection is…
Bayesian Multi Plate High Throughput Screening of Compounds
Ivo D. Shterev, David B. Dunson, Cliburn Chan +1
High throughput screening of compounds (chemicals) is an essential part of drug discovery [7], involving thousands to millions of compounds, with the purpose of identifying candida…
Extrinsic Gaussian processes for regression and classification on manifolds
Lizhen Lin, Mu Niu, Pokman Cheung +1
Gaussian processes (GPs) are very widely used for modeling of unknown functions or surfaces in applications ranging from regression to classification to spatial processes. Although…
Modular Bayes screening for high-dimensional predictors
Yuhan Chen, David B. Dunson
With the routine collection of massive-dimensional predictors in many application areas, screening methods that rapidly identify a small subset of promising predictors have become…
Theoretical Limits of Record Linkage and Microclustering
James E. Johndrow, Kristian Lum, David B. Dunson
There has been substantial recent interest in record linkage, attempting to group the records pertaining to the same entities from a large database lacking unique identifiers. This…
Adaptive posterior convergence rates in non-linear latent variable models
Shuang Zhou, Debdeep Pati, Anirban Bhattacharya +1
Non-linear latent variable models have become increasingly popular in a variety of applications. However, there has been little study on theoretical properties of these models. In…