DeepAI

Michael Minyi Zhang

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Princeton University

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The University of Texas at Austin

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The University of Hong Kong

Featured Co-authors

Eric P Xing
143 publications
David B. Dunson
86 publications
Henry Lam
42 publications
Lizhen Lin
33 publications
Fernando Perez-Cruz
29 publications
Barbara E. Engelhardt
26 publications
Pablo M. Olmos
19 publications
Avinava Dubey
17 publications
Sinead A. Williamson
14 publications
Bianca Dumitrascu
7 publications
Howard Huang
6 publications

∙ 05/20/2022

Sparse Infinite Random Feature Latent Variable Modeling

We propose a non-linear, Bayesian non-parametric latent variable model w...

Michael Minyi Zhang, et al. ∙

∙ 10/18/2020

Accelerated Algorithms for Convex and Non-Convex Optimization on Manifolds

We propose a general scheme for solving convex and non-convex optimizati...

Lizhen Lin, et al. ∙

∙ 06/19/2020

Latent variable modeling with random features

Gaussian process-based latent variable models are flexible and theoretic...

Gregory W. Gundersen, et al. ∙

∙ 01/15/2020

Distributed, partially collapsed MCMC for Bayesian Nonparametrics

Bayesian nonparametric (BNP) models provide elegant methods for discover...

Avinava Dubey, et al. ∙

∙ 10/15/2019

Probabilistic Time of Arrival Localization

In this paper, we take a new approach for time of arrival geo-localizati...

Fernando Perez-Cruz, et al. ∙

∙ 05/24/2019

Sequential Gaussian Processes for Online Learning of Nonstationary Functions

Many machine learning problems can be framed in the context of estimatin...

Michael Minyi Zhang, et al. ∙

∙ 04/18/2019

A New Class of Time Dependent Latent Factor Models with Applications

In many applications, observed data are influenced by some combination o...

Sinead A. Williamson, et al. ∙

∙ 10/26/2018

Communication Efficient Parallel Algorithms for Optimization on Manifolds

The last decade has witnessed an explosion in the development of models,...

Bayan Saparbayeva, et al. ∙

∙ 05/19/2017

Accelerated Inference for Latent Variable Models

Inference of latent feature models in the Bayesian nonparametric setting...

Michael Minyi Zhang, et al. ∙

∙ 10/19/2016

Robust and Parallel Bayesian Model Selection

Effective and accurate model selection is an important problem in modern...

Michael Minyi Zhang, et al. ∙