Michael Minyi Zhang

According to our database, Michael Minyi Zhang authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scalable Random Feature Latent Variable Models.

Ying Li, Zhidi Lin, Yuhao Liu, Michael Minyi Zhang, Pablo M. Olmos, Petar M. Djuric

CoRR, 2024

Preventing Model Collapse in Gaussian Process Latent Variable Models.

Ying Li, Zhidi Lin, Feng Yin, Michael Minyi Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Sequential Gaussian Processes for Online Learning of Nonstationary Functions.

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

IEEE Trans. Signal Process., 2023

Online Student-t Processes with an Overall-local Scale Structure for Modelling Non-stationary Data.

Taole Sha, Michael Minyi Zhang

CoRR, 2023

A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy.

Forough Fazeli-Asl, Michael Minyi Zhang

CoRR, 2023

Bayesian Non-linear Latent Variable Modeling via Random Fourier Features.

Michael Minyi Zhang, Gregory W. Gundersen, Barbara E. Engelhardt

CoRR, 2023

A Semi-Bayesian Nonparametric Hypothesis Test Using Maximum Mean Discrepancy with Applications in Generative Adversarial Networks.

Forough Fazeli-Asl, Michael Minyi Zhang, Lizhen Lin

CoRR, 2023

Overcoming Posterior Collapse in Variational Autoencoders Via EM-Type Training.

Ying Li, Lei Cheng, Feng Yin, Michael Minyi Zhang, Sergios Theodoridis

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Accelerated parallel non-conjugate sampling for Bayesian non-parametric models.

Michael Minyi Zhang, Sinead A. Williamson, Fernando Pérez-Cruz

Stat. Comput., 2022

Sparse Infinite Random Feature Latent Variable Modeling.

Michael Minyi Zhang

CoRR, 2022

2021

Latent variable modeling with random features.

Gregory W. Gundersen, Michael Minyi Zhang, Barbara E. Engelhardt

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

A New Class of Time Dependent Latent Factor Models with Applications.

Sinead A. Williamson, Michael Minyi Zhang, Paul Damien

J. Mach. Learn. Res., 2020

Accelerated Algorithms for Convex and Non-Convex Optimization on Manifolds.

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

CoRR, 2020

Distributed, partially collapsed MCMC for Bayesian Nonparametrics.

Kumar Avinava Dubey, Michael Minyi Zhang, Eric P. Xing, Sinead Williamson

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes.

Li-Fang Cheng, Bianca Dumitrascu, Michael Minyi Zhang, Corey Chivers, Michael Draugelis, Kai Li, Barbara E. Engelhardt

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Probabilistic Time of Arrival Localization.

Fernando Pérez-Cruz, Pablo M. Olmos, Michael Minyi Zhang, Howard Huang

IEEE Signal Process. Lett., 2019

Embarrassingly Parallel Inference for Gaussian Processes.

Michael Minyi Zhang, Sinead A. Williamson

J. Mach. Learn. Res., 2019

2018

Robust and parallel Bayesian model selection.

Michael Minyi Zhang, Henry Lam, Lizhen Lin

Comput. Stat. Data Anal., 2018

Communication Efficient Parallel Algorithms for Optimization on Manifolds.

Bayan Saparbayeva, Michael Minyi Zhang, Lizhen Lin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018