Publications

  1. Jie Chen, Lei Wang and Mihai Anitescu. A Parallel Tree Code for Computing Matrix-Vector Products with the Matern Kernel. Preprint ANL/MCS-P5015-0913, Argonne National Laboratory, 2013.
  2. Jie Chen, Lei Wang and Mihai Anitescu. A Fast Summation Tree Code for Matern Kernel. Preprint ANL/MCS-P4001-1212, Argonne National Laboratory, 2012.
  3. Jie Chen and Tom L. H. Li. Parallelizing the Conjugate Gradient Algorithm for Multilevel Toeplitz Systems. Procedia Computer Science, 18:571–580, 2013.
  4. Michael L. Stein, Jie Chen and Mihai Anitescu. Stochastic Approximation of Score Functions for Gaussian Processes. Annals of Applied Statistics, 7(2):1162–1191, 2013.
  5. Jie Chen. On the Use of Discrete Laplace Operator for Preconditioning Kernel Matrices. SIAM Journal on Scientific Computing, 35(2):A577–A602, 2013.
  6. Jie Chen. A Deflated Version of the Block Conjugate Gradient Algorithm with an Application to Gaussian Process Maximum Likelihood Estimation. Preprint ANL/MCS-P1916-0711, Argonne National Laboratory, 2011.
  7. Emil M Constantinescu and Mihai Anitescu. Physics-Based Covariance Models for Gaussian Processes with Multiple Outputs. International Journal on Uncertainty Quantification, 3(1):47–71, 2013.
  8. Michael L. Stein, Jie Chen and Mihai Anitescu. Difference Filter Preconditioning for Large Covariance Matrices. SIAM Journal on Matrix Analysis and Applications, 33(1):52–72, 2012.
  9. Mihai Anitescu, Jie Chen and Lei Wang. A Matrix-Free Approach For Solving the Gaussian Process Maximum Likelihood Porblem. SIAM Journal on Scientific Computing, 34(1):A240–A262, 2012.
  10. Jie Chen, Mihai Anitescu and Yousef Saad. Computing $f(A)b$ via Least Squares Polynomial Approximations. SIAM Journal on Scientific Computing, 33(1):195–222, 2011.