Embarrassingly parallel inference for Gaussian processes MM Zhang, SA Williamson
Journal of Machine Learning Research 20 (169), 1-26, 2019
27 2019 Dispersal of Attaphila fungicola , a symbiotic cockroach of leaf-cutter ants ZI Phillips, MM Zhang, UG Mueller
Insectes Sociaux 64, 277-284, 2017
20 2017 Distributed, partially collapsed MCMC for Bayesian Nonparametrics A Dubey, MM Zhang, EP Xing, SA Williamson
International Conference on Artificial Intelligence and Statistics 108, 3685 …, 2020
12 2020 Sequential Gaussian processes for online learning of nonstationary functions MM Zhang, B Dumitrascu, SA Williamson, BE Engelhardt
IEEE Transactions on Signal Processing 71, 1539-1550, 2023
11 2023 Latent variable modeling with random features G Gundersen, M Zhang, B Engelhardt
International Conference on Artificial Intelligence and Statistics, 1333-1341, 2021
11 2021 Probabilistic time of arrival localization F Pérez-Cruz, PM Olmos, MM Zhang, H Huang
IEEE Signal Processing Letters 26 (11), 1683-1687, 2019
11 2019 Patient-specific effects of medication using latent force models with Gaussian processes LF Cheng, B Dumitrascu, M Zhang, C Chivers, M Draugelis, K Li, ...
International Conference on Artificial Intelligence and Statistics, 4045-4055, 2020
7 2020 Communication efficient parallel algorithms for optimization on manifolds B Saparbayeva, M Zhang, L Lin
Advances in Neural Information Processing Systems 31, 2018
7 2018 Accelerated algorithms for convex and non-convex optimization on manifolds L Lin, B Saparbayeva, MM Zhang, DB Dunson
arXiv preprint arXiv:2010.08908, 2020
6 2020 Robust and parallel Bayesian model selection MM Zhang, H Lam, L Lin
Computational statistics & data analysis 127, 229-247, 2018
5 2018 A new class of time dependent latent factor models with applications SA Williamson, MM Zhang, P Damien
Journal of Machine Learning Research 21 (27), 1-24, 2020
4 2020 Bayesian Non-linear Latent Variable Modeling via Random Fourier Features MM Zhang, GW Gundersen, BE Engelhardt
arXiv preprint arXiv:2306.08352, 2023
2 2023 Parallel markov chain monte carlo for the indian buffet process MM Zhang, A Dubey, SA Williamson
arXiv preprint arXiv:1703.03457, 2017
2 2017 Overcoming Posterior Collapse in Variational Autoencoders Via EM-Type Training Y Li, L Cheng, F Yin, MM Zhang, S Theodoridis
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
1 2023 A semi-Bayesian nonparametric hypothesis test using maximum mean discrepancy with applications in generative adversarial networks F Fazeli-Asl, M Minyi Zhang, L Lin
arXiv e-prints, arXiv: 2303.02637, 2023
1 2023 Accelerated parallel non-conjugate sampling for Bayesian non-parametric models MM Zhang, SA Williamson, F Pérez-Cruz
Statistics and Computing 32 (50), 1-25, 2022
1 2022 Sparse Infinite Random Feature Latent Variable Modeling MM Zhang
arXiv preprint arXiv:2205.09909, 2022
1 2022 Online/Offline Learning to Enable Robust Beamforming: Limited Feedback Meets Deep Generative Models Y Li, Z Lin, K Li, MM Zhang
arXiv preprint arXiv:2404.06055, 2024
2024 Preventing Model Collapse in Gaussian Process Latent Variable Models Y Li, Z Lin, F Yin, MM Zhang
arXiv preprint arXiv:2404.01697, 2024
2024 Online Student- Processes with an Overall-local Scale Structure for Modelling Non-stationary Data T Sha, MM Zhang
arXiv preprint arXiv:2311.00564, 2023
2023