Jinglai Li

1. Adaptive Gaussian process approximation for Bayesian inference with expensive likelihood functions
   2017/03/29 by Hongqiao Wang, Wang, Hongqiao, Jinglai Li +1 · 2 citations
   Computer Science · Engineering · #Computation (stat.CO) #Control Systems and Identification #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Machine Learning and Algorithms
2. NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems
   2023/04/17 by Ziruo Cai, Cai, Ziruo, Junqi Tang +9 · 1 citation
   Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (stat.ML) #Medical Image Segmentation Techniques #Numerical Analysis (math.NA) #Sparse and Compressive Sensing Techniques
3. On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design
   2023/08/19 by Ziqiao Ao, Ao, Ziqiao, Jinglai Li +1 · 1 citation
   Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimal Experimental Design Methods
4. Gaussian Process Regression for Uncertainty Quantification: An Introductory Tutorial
   2025/02/05 by Jinglai Li, Hongqiao Wang, Li, Jinglai +1 · 1 citation
   Computer Science · Engineering · #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Numerical Analysis (math.NA)
5. Domain Adaptation of Mismatched Proximal Denoiser for Plug-and-Play Image Reconstruction
   2026/07/16 by Guixian Xu, Jinglai Li, Junqi Tang
   #eess.IV #cs.LG #math.OC