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Rank Diminishing in Deep Neural Networks


Jun 13, 2022
Ruili Feng, Kecheng Zheng, Yukun Huang, Deli Zhao, Michael Jordan, Zheng-Jun Zha

* 31 pages, 12 figures 

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Data Sharing Markets


Jul 19, 2021
Mohammad Rasouli, Michael Jordan


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Wasserstein Reinforcement Learning


Jun 11, 2019
Aldo Pacchiano, Jack Parker-Holder, Yunhao Tang, Anna Choromanska, Krzysztof Choromanski, Michael Jordan


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High-Dimensional Continuous Control Using Generalized Advantage Estimation


Oct 20, 2018
John Schulman, Philipp Moritz, Sergey Levine, Michael Jordan, Pieter Abbeel


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SAFFRON: an adaptive algorithm for online control of the false discovery rate


Feb 25, 2018
Aaditya Ramdas, Tijana Zrnic, Martin Wainwright, Michael Jordan

* 16 pages, 10 figures 

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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 Berkeley View of Systems Challenges for AI


Dec 15, 2017
Ion Stoica, Dawn Song, Raluca Ada Popa, David Patterson, Michael W. Mahoney, Randy Katz, Anthony D. Joseph, Michael Jordan, Joseph M. Hellerstein, Joseph E. Gonzalez, Ken Goldberg, Ali Ghodsi, David Culler, Pieter Abbeel

* Berkeley Technical Report 

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Saturating Splines and Feature Selection


Dec 04, 2017
Nicholas Boyd, Trevor Hastie, Stephen Boyd, Benjamin Recht, Michael Jordan

* Adding missing references and related work 

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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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Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences


Sep 04, 2016
Chi Jin, Yuchen Zhang, Sivaraman Balakrishnan, Martin J. Wainwright, Michael Jordan

* Neural Information Processing Systems (NIPS) 2016 

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