2 papers
stat.ML2024
A Unified Gaussian Process for Branching and Nested Hyperparameter Optimization
Jiazhao Zhang, Ying Hung, Chung-Ching Lin +1
Choosing appropriate hyperparameters plays a crucial role in the success of neural networks as hyper-parameters directly control the behavior and performance of the training algori…
stat.AP2023
Advancing inverse scattering with surrogate modeling and Bayesian inference for functional inputs
Chih-Li Sung, Yao Song, Ying Hung
Inverse scattering aims to infer information about a hidden object by using the received scattered waves and training data collected from forward mathematical models. Recent advanc…