Michael Minyi Zhang

34 papers A* 2A 4Misc 1Journal 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Bayesian Bootstrap Framework for Mutual Information Neural Estimation: Bridging Classical Mutual Information Learning and Bayesian Nonparametric Learning. Trans. Mach. Learn. Res. Forough Fazeli-Asl, Michael Minyi Zhang, Linglong Kong, Bei Jiang
2025	J	`jnl`	A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation. CoRR Forough Fazeli-Asl, Michael Minyi Zhang, Bei Jiang, Linglong Kong
2025	J	`jnl`	Accelerated algorithms for convex and non-convex optimization on manifolds. Mach. Learn. Lizhen Lin, Bayan Saparbayeva, Michael Minyi Zhang, David B. Dunson
2025	J	`jnl`	Multi-View Oriented GPLVM: Expressiveness and Efficiency. CoRR Zi Yang, Ying Li, Zhidi Lin, Michael Minyi Zhang, Pablo M. Olmos
2025	A	`conf`	Online Student-t Processes with an Overall-local Scale Structure for Modelling Non-stationary Data. AISTATS Taole Sha, Michael Minyi Zhang
2025	J	`jnl`	Scalable Random Feature Latent Variable Models. IEEE Trans. Pattern Anal. Mach. Intell. Ying Li, Zhidi Lin, Yuhao Liu, Michael Minyi Zhang, Pablo M. Olmos, Petar M. Djuric
2024	J	`jnl`	A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial Networks. Trans. Mach. Learn. Res. Forough Fazeli-Asl, Michael Minyi Zhang, Lizhen Lin
2024	A*	`conf`	Preventing Model Collapse in Gaussian Process Latent Variable Models. ICML Ying Li, Zhidi Lin, Feng Yin, Michael Minyi Zhang
2024	J	`jnl`	Preventing Model Collapse in Gaussian Process Latent Variable Models. CoRR Ying Li, Zhidi Lin, Feng Yin, Michael Minyi Zhang
2024	J	`jnl`	Scalable Random Feature Latent Variable Models. CoRR Ying Li, Zhidi Lin, Yuhao Liu, Michael Minyi Zhang, Pablo M. Olmos, Petar M. Djuric
2023	J	`jnl`	A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy. CoRR Forough Fazeli-Asl, Michael Minyi Zhang
2023	J	`jnl`	A Semi-Bayesian Nonparametric Hypothesis Test Using Maximum Mean Discrepancy with Applications in Generative Adversarial Networks. CoRR Forough Fazeli-Asl, Michael Minyi Zhang, Lizhen Lin
2023	J	`jnl`	Bayesian Non-linear Latent Variable Modeling via Random Fourier Features. CoRR Michael Minyi Zhang, Gregory W. Gundersen, Barbara E. Engelhardt
2023	J	`jnl`	Online Student-t Processes with an Overall-local Scale Structure for Modelling Non-stationary Data. CoRR Taole Sha, Michael Minyi Zhang
2023	Misc	`conf`	Overcoming Posterior Collapse in Variational Autoencoders Via EM-Type Training. ICASSP Ying Li, Lei Cheng, Feng Yin, Michael Minyi Zhang, Sergios Theodoridis
2023	J	`jnl`	Sequential Gaussian Processes for Online Learning of Nonstationary Functions. IEEE Trans. Signal Process. Michael Minyi Zhang, Bianca Dumitrascu, Sinead A. Williamson, Barbara E. Engelhardt
2022	J	`jnl`	Accelerated parallel non-conjugate sampling for Bayesian non-parametric models. Stat. Comput. Michael Minyi Zhang, Sinead A. Williamson, Fernando Pérez-Cruz
2022	J	`jnl`	Sparse Infinite Random Feature Latent Variable Modeling. CoRR Michael Minyi Zhang
2021	A	`conf`	Latent variable modeling with random features. AISTATS Gregory W. Gundersen, Michael Minyi Zhang, Barbara E. Engelhardt
2020	J	`jnl`	A New Class of Time Dependent Latent Factor Models with Applications. J. Mach. Learn. Res. Sinead A. Williamson, Michael Minyi Zhang, Paul Damien
2020	J	`jnl`	Accelerated Algorithms for Convex and Non-Convex Optimization on Manifolds. CoRR Lizhen Lin, Bayan Saparbayeva, Michael Minyi Zhang, David B. Dunson
2020	A	`conf`	Distributed, partially collapsed MCMC for Bayesian Nonparametrics. AISTATS Kumar Avinava Dubey, Michael Minyi Zhang, Eric P. Xing, Sinead Williamson
2020	J	`jnl`	Distributed, partially collapsed MCMC for Bayesian Nonparametrics. CoRR Avinava Dubey, Michael Minyi Zhang, Eric P. Xing, Sinead A. Williamson
2020	J	`jnl`	Latent variable modeling with random features. CoRR Gregory W. Gundersen, Michael Minyi Zhang, Barbara E. Engelhardt
2020	A	`conf`	Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes. AISTATS Li-Fang Cheng, Bianca Dumitrascu, Michael Minyi Zhang, Corey Chivers, Michael Draugelis, Kai Li, Barbara E. Engelhardt
2019	J	`jnl`	A New Class of Time Dependent Latent Factor Models with Applications. CoRR Sinead A. Williamson, Michael Minyi Zhang, Paul Damien
2019	J	`jnl`	Embarrassingly Parallel Inference for Gaussian Processes. J. Mach. Learn. Res. Michael Minyi Zhang, Sinead A. Williamson
2019	J	`jnl`	Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes. CoRR Li-Fang Cheng, Bianca Dumitrascu, Michael Minyi Zhang, Corey Chivers, Michael Draugelis, Kai Li, Barbara E. Engelhardt
2019	J	`jnl`	Probabilistic Time of Arrival Localization. CoRR Fernando Pérez-Cruz, Pablo M. Olmos, Michael Minyi Zhang, Howard Huang
2019	J	`jnl`	Probabilistic Time of Arrival Localization. IEEE Signal Process. Lett. Fernando Pérez-Cruz, Pablo M. Olmos, Michael Minyi Zhang, Howard Huang
2019	J	`jnl`	Sequential Gaussian Processes for Online Learning of Nonstationary Functions. CoRR Michael Minyi Zhang, Bianca Dumitrascu, Sinead A. Williamson, Barbara E. Engelhardt
2018	A*	`conf`	Communication Efficient Parallel Algorithms for Optimization on Manifolds. NeurIPS Bayan Saparbayeva, Michael Minyi Zhang, Lizhen Lin
2018	J	`jnl`	Communication Efficient Parallel Algorithms for Optimization on Manifolds. CoRR Bayan Saparbayeva, Michael Minyi Zhang, Lizhen Lin
2018	J	`jnl`	Robust and parallel Bayesian model selection. Comput. Stat. Data Anal. Michael Minyi Zhang, Henry Lam, Lizhen Lin