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Michael I. Jordan
- > Home > Persons > Michael I. Jordan
Publications
- 2020
- [c289]Romain Lopez, Pierre Boyeau, Nir Yosef, Michael I. Jordan, Jeffrey Regier:
Decision-Making with Auto-Encoding Variational Bayes. NeurIPS 2020 - [i196]Romain Lopez, Pierre Boyeau, Nir Yosef, Michael I. Jordan, Jeffrey Regier:
Decision-Making with Auto-Encoding Variational Bayes. CoRR abs/2002.07217 (2020) - 2019
- [c277]Runjing Liu, Jeffrey Regier, Nilesh Tripuraneni, Michael I. Jordan, Jon D. McAuliffe:
Rao-Blackwellized Stochastic Gradients for Discrete Distributions. ICML 2019: 4023-4031 - [i142]Romain Lopez, Achille Nazaret, Maxime Langevin, Jules Samaran, Jeffrey Regier, Michael I. Jordan, Nir Yosef:
A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements. CoRR abs/1905.02269 (2019) - 2018
- [c257]Nilesh Tripuraneni, Mitchell Stern, Chi Jin, Jeffrey Regier, Michael I. Jordan:
Stochastic Cubic Regularization for Fast Nonconvex Optimization. NeurIPS 2018: 2904-2913 - [c254]Romain Lopez, Jeffrey Regier, Michael I. Jordan, Nir Yosef:
Information Constraints on Auto-Encoding Variational Bayes. NeurIPS 2018: 6117-6128 - [i110]Romain Lopez, Jeffrey Regier, Nir Yosef, Michael I. Jordan:
Information Constraints on Auto-Encoding Variational Bayes. CoRR abs/1805.08672 (2018) - [i105]Maxime Langevin, Edouard Mehlman, Jeffrey Regier, Romain Lopez, Michael I. Jordan, Nir Yosef:
A Deep Generative Model for Semi-Supervised Classification with Noisy Labels. CoRR abs/1809.05957 (2018) - [i104]Runjing Liu, Jeffrey Regier, Nilesh Tripuraneni, Michael I. Jordan, Jon McAuliffe:
Rao-Blackwellized Stochastic Gradients for Discrete Distributions. CoRR abs/1810.04777 (2018) - 2017
- [c240]Jeffrey Regier, Michael I. Jordan, Jon McAuliffe:
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization. NIPS 2017: 2402-2411 - [i92]Jeffrey Regier, Michael I. Jordan, Jon McAuliffe:
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization. CoRR abs/1706.02375 (2017) - [i87]Romain Lopez, Jeffrey Regier, Michael I. Jordan, Nir Yosef:
A deep generative model for gene expression profiles from single-cell RNA sequencing. CoRR abs/1709.02082 (2017) - [i82]Nilesh Tripuraneni, Mitchell Stern, Chi Jin, Jeffrey Regier, Michael I. Jordan:
Stochastic Cubic Regularization for Fast Nonconvex Optimization. CoRR abs/1711.02838 (2017)
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