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Learning from eXtreme Bandit Feedback


Sep 27, 2020
Romain Lopez, Inderjit Dhillon, Michael I. Jordan


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Decision-Making with Auto-Encoding Variational Bayes


Feb 17, 2020
Romain Lopez, Pierre Boyeau, Nir Yosef, Michael I. Jordan, Jeffrey Regier


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A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements


May 06, 2019
Romain Lopez, Achille Nazaret, Maxime Langevin, Jules Samaran, Jeffrey Regier, Michael I. Jordan, Nir Yosef

* submitted to the 2019 ICML Workshop on Computational Biology 

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Cost-Effective Incentive Allocation via Structured Counterfactual Inference


Feb 07, 2019
Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song


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Information Constraints on Auto-Encoding Variational Bayes


Oct 15, 2018
Romain Lopez, Jeffrey Regier, Michael I. Jordan, Nir Yosef

* Advances in Neural Information Processing Systems 2018 

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A Deep Generative Model for Semi-Supervised Classification with Noisy Labels


Sep 16, 2018
Maxime Langevin, Edouard Mehlman, Jeffrey Regier, Romain Lopez, Michael I. Jordan, Nir Yosef

* accepted to BayLearn 2018 

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A deep generative model for gene expression profiles from single-cell RNA sequencing


Jan 16, 2018
Romain Lopez, Jeffrey Regier, Michael Cole, Michael Jordan, Nir Yosef

* BayLearn2017, NIPS workshop MLCB 2017 

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A deep generative model for single-cell RNA sequencing with application to detecting differentially expressed genes


Oct 17, 2017
Romain Lopez, Jeffrey Regier, Michael Cole, Michael Jordan, Nir Yosef

* Updated a previous submission instead. See arXiv:1709.02082 

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