Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes

no code implementations • 22 Sep 2023 • Jian Xu, Shian Du, Junmei Yang, Qianli Ma, Delu Zeng

Furthermore, our method guarantees theoretically controlled prediction error for DGP models and demonstrates remarkable performance on various datasets.

Bayesian Inference Gaussian Processes +2

Data-driven Modeling and Inference for Bayesian Gaussian Process ODEs via Double Normalizing Flows

no code implementations • 17 Sep 2023 • Jian Xu, Shian Du, Junmei Yang, Xinghao Ding, John Paisley, Delu Zeng

Bayesian inference for these models has been extensively studied and applied in tasks such as time series prediction.

Bayesian Inference Gaussian Processes +2