Jian Cao
Orcid: 0000-0003-1609-4921Affiliations:
- Texas A&M University, College Station, Texas, USA
- King Abdullah University of Science and Technology, CEMSE Division, Extreme Computing Research Cente, Thuwal, Saudi Arabia (PhD 2020)
According to our database1,
Jian Cao
authored at least 10 papers
between 2019 and 2023.
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Bibliography
2023
Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization.
CoRR, 2023
Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization.
Proceedings of the International Conference on Machine Learning, 2023
2022
Scalable Computation of Predictive Probabilities in Probit Models with Gaussian Process Priors.
J. Comput. Graph. Stat., July, 2022
tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student- t Probabilities with Low-Rank Methods in R.
J. Stat. Softw., 2022
Scalable Gaussian-process regression and variable selection using Vecchia approximations.
J. Mach. Learn. Res., 2022
2021
Exploiting low-rank covariance structures for computing high-dimensional normal and Student-t probabilities.
Stat. Comput., 2021
Sum of Kronecker products representation and its Cholesky factorization for spatial covariance matrices from large grids.
Comput. Stat. Data Anal., 2021
An O(N) algorithm for computing expectation of N-dimensional truncated multi-variate normal distribution I: fundamentals.
Adv. Comput. Math., 2021
2019
Hierarchical-block conditioning approximations for high-dimensional multivariate normal probabilities.
Stat. Comput., 2019