Gemma Moran


Postdoctoral research scientist


Curriculum vitae


gm2918 <at> columbia.edu


Data Science Institute


Columbia University



Publications


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Preprints


Population Predictive Checks


Gemma E. Moran, David M. Blei, Rajesh Ranganath


arXiv


Identifiable Deep Generative Models via Sparse Decoding


Gemma E. Moran, Dhanya Sridhar, Yixin Wang, David M. Blei


arXiv



Publications


The Posterior Predictive Null


Gemma E. Moran, John P. Cunningham, David M. Blei


Bayesian Analysis, 2022


Spike-and-slab lasso biclustering


Gemma E. Moran, Veronika Rockova, Edward I. George


The Annals of Applied Statistics, vol. 15, 2021, pp. 148--173


Spike-and-slab group lassos for grouped regression and sparse generalized additive models


*Ray Bai, *Gemma E. Moran, *Joseph L. Antonelli, Yong Chen, Mary R. Boland


Journal of the American Statistical Association, 2020, pp. 1--14


Variance prior forms for high-dimensional Bayesian variable selection


Gemma E. Moran, Veronika Rockova, Edward I. George


Bayesian Analysis, vol. 14, 2019, pp. 1091--1119


Determinantal regularization for ensemble variable selection


Veronika Rockova, Gemma E. Moran, Edward I. George


Artificial Intelligence and Statistics, 2016



Collaborations


Serendipity based recommender system for perovskites material discovery: balancing exploration and exploitation across multiple models


Venkateswaran Shekar, Vincent Yu, Benjamin J. Garcia, David Benjamin Gordon, Gemma E. Moran, David M. Blei, Loïc M. Roch, Alberto García-Durán, Mansoor Ani Najeeb, Margaret Zeile, Philip W. Nega, Zhi Li, Mina A. Kim, Emory M. Chan, Alexander J. Norquist, Sorelle Friedler, Joshua Schrier


ChemRxiv, 2022


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