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Accelerated Algorithms for Convex and Non-Convex Optimization on Manifolds


Oct 18, 2020
Lizhen Lin, Bayan Saparbayeva, Michael Minyi Zhang, David B. Dunson


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Latent variable modeling with random features


Jun 19, 2020
Gregory W. Gundersen, Michael Minyi Zhang, Barbara E. Engelhardt

* 21 pages, 7 figures 

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Distributed, partially collapsed MCMC for Bayesian Nonparametrics


Jan 15, 2020
Avinava Dubey, Michael Minyi Zhang, Eric P. Xing, Sinead A. Williamson

* Accepted in AISTATS 2020 

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Probabilistic Time of Arrival Localization


Oct 15, 2019
Fernando Perez-Cruz, Pablo M. Olmos, Michael Minyi Zhang, Howard Huang

* IEEE Signal Processing Letters, 2019 

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Sequential Gaussian Processes for Online Learning of Nonstationary Functions


May 24, 2019
Michael Minyi Zhang, Bianca Dumitrascu, Sinead A. Williamson, Barbara E. Engelhardt


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A New Class of Time Dependent Latent Factor Models with Applications


Apr 18, 2019
Sinead A. Williamson, Michael Minyi Zhang, Paul Damien


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Communication Efficient Parallel Algorithms for Optimization on Manifolds


Nov 01, 2018
Bayan Saparbayeva, Michael Minyi Zhang, Lizhen Lin

* 15 pages 

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Embarrassingly Parallel Inference for Gaussian Processes


Jun 13, 2018
Michael Minyi Zhang, Sinead A. Williamson


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Robust and Parallel Bayesian Model Selection


Mar 22, 2018
Michael Minyi Zhang, Henry Lam, Lizhen Lin

* Computational Statistics & Data Analysis, Volume 127, 2018, Pages 229-247, ISSN 0167-9473 

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Accelerated Inference for Latent Variable Models


Nov 06, 2017
Michael Minyi Zhang, Fernando Perez-Cruz


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