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ORCIDJian Cao 0004
Person information
- unicode name: 曹健
- affiliation: Texas A&M University, College Station, Texas, USA
- affiliation (PhD 2020): King Abdullah University of Science and Technology, CEMSE Division, Extreme Computing Research Cente, Thuwal, Saudi Arabia
Other persons with the same name
- Jian Cao — disambiguation page
- Jian Cao 0001
![[0000-0002-0036-9436]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-0036-9436")
— Shanghai Jiao Tong University, Department of Computer Science and Engineering, China - Jian Cao 0002 — Peking University, School of Software and Microelectronics, Institute of Microelectronics, Beijing, China
- Jian Cao 0003 — Beijing Technology and Business University, School of Computer, China (and 1 more)
- Jian Cao 0005 — Sun Yat-sen University, School of Electronics and Information Technology, Guangzhou, China
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2020 – today
- 2024
[c2]Xiran Zhang, Sameh Abdulah, Jian Cao, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes:
Parallel Approximations for High-Dimensional Multivariate Normal Probability Computation in Confidence Region Detection Applications. IPDPS 2024: 265-276- [i3]Xiran Zhang, Sameh Abdulah, Jian Cao, Hatem Ltaief, Ying Sun, Marc G. Genton, David E. Keyes:
Parallel Approximations for High-Dimensional Multivariate Normal Probability Computation in Confidence Region Detection Applications. CoRR abs/2405.14892 (2024) - 2023
- [c1]Jian Cao, Myeongjong Kang, Felix Jimenez, Huiyan Sang, Florian Tobias Schaefer, Matthias Katzfuss:
Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization. ICML 2023: 3559-3576 - [i2]Jian Cao, Myeongjong Kang, Felix Jimenez, Huiyan Sang, Florian Schäfer, Matthias Katzfuss:
Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization. CoRR abs/2301.13303 (2023) - 2022
- [j7]Jian Cao, Daniele Durante, Marc G. Genton:
Scalable Computation of Predictive Probabilities in Probit Models with Gaussian Process Priors. J. Comput. Graph. Stat. 31(3): 709-720 (2022) - [j6]Jian Cao, Joseph Guinness, Marc G. Genton, Matthias Katzfuss:
Scalable Gaussian-process regression and variable selection using Vecchia approximations. J. Mach. Learn. Res. 23: 348:1-348:30 (2022) - [j5]Jian Cao, Marc G. Genton, David E. Keyes, George M. Turkiyyah:
tlrmvnmvt: Computing High-Dimensional Multivariate Normal and Student- t Probabilities with Low-Rank Methods in R. J. Stat. Softw. 101(4) (2022) - 2021
- [j4]Jingfang Huang, Jian Cao, Fuhui Fang, Marc G. Genton, David E. Keyes, George Turkiyyah:
An O(N) algorithm for computing expectation of N-dimensional truncated multi-variate normal distribution I: fundamentals. Adv. Comput. Math. 47(5): 65 (2021) - [j3]Jian Cao, Marc G. Genton, David E. Keyes, George M. Turkiyyah:
Sum of Kronecker products representation and its Cholesky factorization for spatial covariance matrices from large grids. Comput. Stat. Data Anal. 157: 107165 (2021) - [j2]Jian Cao, Marc G. Genton, David E. Keyes, George M. Turkiyyah:
Exploiting low-rank covariance structures for computing high-dimensional normal and Student-t probabilities. Stat. Comput. 31(1): 2 (2021)
2010 – 2019
- 2019
- [j1]Jian Cao, Marc G. Genton, David E. Keyes, George M. Turkiyyah:
Hierarchical-block conditioning approximations for high-dimensional multivariate normal probabilities. Stat. Comput. 29(3): 585-598 (2019) - [i1]Sameh Abdulah, Yuxiao Li, Jian Cao, Hatem Ltaief, David E. Keyes, Marc G. Genton, Ying Sun:
ExaGeoStatR: A Package for Large-Scale Geostatistics in R. CoRR abs/1908.06936 (2019)
Coauthor Index
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