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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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