11 citations · 11 across the 2 of their papers we have counts for
2 papers
stat.ML2024
Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior
Wang Xinming, Li Yongxiang, Yue Xiaowei +1
Multi-output Gaussian process (MGP) is commonly used as a transfer learning method to leverage information among multiple outputs. A key advantage of MGP is providing uncertainty q…
stat.ML2024★ 11 cited
Regularized Multi-output Gaussian Convolution Process with Domain Adaptation
Wang Xinming, Wang Chao, Song Xuan +2
Multi-output Gaussian process (MGP) has been attracting increasing attention as a transfer learning method to model multiple outputs. Despite its high flexibility and generality, M…