Jeffrey Regier
Jeffrey Regier
Assistant Professor, Department of Statistics, University of Michigan
Geverifieerd e-mailadres voor umich.edu - Homepage
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Deep generative modeling for single-cell transcriptomics
R Lopez, J Regier, MB Cole, MI Jordan, N Yosef
Nature Methods 15 (12), 1053, 2018
4232018
Stochastic cubic regularization for fast nonconvex optimization
N Tripuraneni, M Stern, C Jin, J Regier, MI Jordan
Advances in Neural Information Processing Systems, 2899-2908, 2018
1102018
Information constraints on auto-encoding variational bayes
R Lopez, J Regier, MI Jordan, N Yosef
arXiv preprint arXiv:1805.08672, 2018
512018
Probabilistic harmonization and annotation of single‐cell transcriptomics data with deep generative models
C Xu, R Lopez, E Mehlman, J Regier, MI Jordan, N Yosef
Molecular systems biology 17 (1), e9620, 2021
342021
Celeste: Variational Inference for a Generative Model of Astronomical Images
J Regier, A Miller, J McAuliffe, R Adams, M Hoffman, D Lang, D Schlegel
International Conference on Machine Learning (ICML), 2015
322015
A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements
R Lopez, A Nazaret, M Langevin, J Samaran, J Regier, MI Jordan, ...
arXiv preprint arXiv:1905.02269, 2019
212019
Fast black-box variational inference through stochastic trust-region optimization
J Regier, MI Jordan, J McAuliffe
Advances in Neural Information Processing Systems (NIPS), 2399-2408, 2017
202017
A deep generative model for astronomical images of galaxies
J Regier, J McAuliffe, Prabhat
Neural Informational Processing Systems (NIPS) Workshop: Advances in …, 2015
20*2015
Bayesian inference for a generative model of transcriptome profiles from single-cell RNA sequencing
R Lopez, J Regier, M Cole, M Jordan, N Yosef
bioRxiv, 292037, 2018
182018
Rao-blackwellized stochastic gradients for discrete distributions
R Liu, J Regier, N Tripuraneni, MI Jordan, J McAuliffe
Advances in Neural Information Processing Systems, 2018
172018
Joint probabilistic modeling of single-cell multi-omic data with totalVI
A Gayoso, Z Steier, R Lopez, J Regier, KL Nazor, A Streets, N Yosef
Nature Methods 18 (3), 272-282, 2021
152021
Cataloging the visible universe through Bayesian inference in Julia at petascale
J Regier, K Fischer, K Pamnany, A Noack, J Revels, M Lam, S Howard, ...
Journal of Parallel and Distributed Computing 127, 89-104, 2019
152019
System and method for retrieving and intelligently grouping definitions found in a repository of documents
J Regier, U Avissar
US Patent 7,747,555, 2010
102010
A deep generative model for gene expression profiles from single-cell RNA sequencing
R Lopez, J Regier, M Cole, M Jordan, N Yosef
arXiv preprint arXiv:1709.02082, 2017
82017
Joint probabilistic modeling of paired transcriptome and proteome measurements in single cells
A Gayoso, Z Steier, R Lopez, J Regier, KL Nazor, A Streets, N Yosef
Biorxiv, 2020
72020
Mini-Minimax Uncertainty Quantification for Emulators
JC Regier, PB Stark
SIAM/ASA Journal on Uncertainty Quantification 3 (1), 686–708, 2015
72015
Harmonization and annotation of single-cell transcriptomics data with deep generative models. bioRxiv
C Xu, R Lopez, E Mehlman, J Regier, MI Jordan, N Yosef
Published online January 1, 532895, 2019
62019
Bayesian inference for a generative model of transcriptome profiles from single-cell rna sequencing. bioRxiv (2018)
R Lopez, J Regier, MB Cole, M Jordan, N Yosef
URL https://www. biorxiv. org/content/early/2018/03/30/292037. https://www …, 0
6
Decision-making with auto-encoding variational Bayes
R Lopez, P Boyeau, N Yosef, MI Jordan, J Regier
arXiv preprint arXiv:2002.07217, 2020
52020
Harmonization and annotation of single-cell transcriptomics data with deep generative models. bioRxiv, 532895
C Xu, R Lopez, E Mehlman, J Regier, MI Jordan, N Yosef
Preprint at https://www. biorxiv. org/content/10.1101/532895v1, 2019
52019
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Artikelen 1–20