Positive Definite Nonparametric Regression using an Evolutionary Algorithm with Application to Covariance Function Estimation. - Myeongjong Kang (GECCO, 2023)

Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization. - Jian Cao 004; Myeongjong Kang; Felix Jimenez 002; Huiyan Sang; Florian Tobias Schaefer; Matthias Katzfuss (ICML, 2023)

Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization. - Jian Cao 004; Myeongjong Kang; Felix Jimenez 002; Huiyan Sang; Florian Schäfer 001; Matthias Katzfuss (CoRR, 2023)

Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference. - Myeongjong Kang; Matthias Katzfuss (Stat. Comput., 2023)