Identifiable deep generative models via sparse decoding GE Moran, D Sridhar, Y Wang, DM Blei Transactions on Machine Learning Research, 2022 | 57* | 2022 |
Spike-and-slab group lassos for grouped regression and sparse generalized additive models R Bai, GE Moran, JL Antonelli, Y Chen, MR Boland Journal of the American Statistical Association 117 (537), 184-197, 2022 | 55 | 2022 |
Variance prior forms for high-dimensional Bayesian variable selection GE Moran, V Ročková, EI George Bayesian Analysis, 1091-1119, 2019 | 49* | 2019 |
Spike-and-slab lasso biclustering GE Moran, V Ročková, EI George Annals of Applied Statistics 15 (1), 148-173, 2021 | 23 | 2021 |
Holdout predictive checks for Bayesian model criticism GE Moran, DM Blei, R Ranganath Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024 | 9* | 2024 |
Serendipity based recommender system for perovskites material discovery: balancing exploration and exploitation across multiple models V Shekar, V Yu, BJ Garcia, DB Gordon, GE Moran, DM Blei, LM Roch, ... | 6 | 2022 |
SSLASSO: The Spike-and-Slab LASSO V Rocková, G Moran URL https://cran. r-project. org/package= SSLASSO 1, 25, 2017 | 6 | 2017 |
Determinantal regularization for ensemble variable selection V Rocková, G Moran, E George Artificial Intelligence and Statistics, 1105-1113, 2016 | 5 | 2016 |
The posterior predictive null GE Moran, JP Cunningham, DM Blei Bayesian Analysis 18 (4), 1071-1097, 2023 | 4 | 2023 |
Bayesian approaches for modeling variation GE Moran University of Pennsylvania, 2019 | 1 | 2019 |
Theory for Gaussian Variational Approximation of Bayesian Generalised Linear Models G Moran | | 2013 |