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Lester Wayne Mackey

Affiliations: 
2012 Electrical Engineering  University of California, Berkeley, Berkeley, CA, United States 
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"Lester Mackey"
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Parents

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Michael I. Jordan grad student 2012 UC Berkeley
 (Matrix Factorization and Matrix Concentration.)

Children

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Collaborators

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Raaz Dwivedi collaborator 2019- Microsoft Research
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Publications

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Broderick T, Mackey L, Paisley J, et al. (2015) Combinatorial Clustering and the Beta Negative Binomial Process. Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 290-306
Broderick T, Mackey L, Paisley J, et al. (2015) Combinatorial clustering and the beta negative binomial process Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 290-306
Mackey L, Talwalkar A, Jordan MI. (2015) Distributed matrix completion and robust factorization Journal of Machine Learning Research. 16: 913-960
Mackey L, Jordan MI, Chen RY, et al. (2014) Matrix concentration inequalities via the method of exchangeable pairs Annals of Probability. 42: 906-945
Gong NZ, Talwalkar A, MacKey L, et al. (2014) Joint link prediction and attribute inference using a social-attribute network Acm Transactions On Intelligent Systems and Technology. 5
Duchi JC, Mackey L, Jordan MI. (2013) The asymptotics of ranking algorithms Annals of Statistics. 41: 2292-2323
Talwalkar A, MacKey L, Mu Y, et al. (2013) Distributed low-rank subspace segmentation Proceedings of the Ieee International Conference On Computer Vision. 3543-3550
Huang MY, Mackey L, Keränen SVE, et al. (2011) Visually relating gene expression and in vivo DNA binding data Proceedings - 2011 Ieee International Conference On Bioinformatics and Biomedicine, Bibm 2011. 586-589
MacKey L, Talwalkar A, Jordan MI. (2011) Divide-and-conquer matrix factorization Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011
Duchi JC, Mackey LW, Jordan MI. (2010) On the consistency of ranking algorithms Icml 2010 - Proceedings, 27th International Conference On Machine Learning. 327-334
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