2 papers
stat.ML2026
Efficient Deep Gaussian Process Surrogates via Mini-Batch Latent MAP Estimation
Chun-Yi Chang, Chih-Li Sung
Deep Gaussian processes (DGPs) are flexible surrogate models for computer experiments with nonstationary response surfaces, but inference over their latent representations remains…
stat.ML2025
Deep Intrinsic Coregionalization Multi-Output Gaussian Process Surrogate with Active Learning
Chun-Yi Chang, Chih-Li Sung
Deep Gaussian Processes (DGPs) are powerful surrogate models known for their flexibility and ability to capture complex functions. However, extending them to multi-output settings…