most citedRegularized Multi-output Gaussian Convolution Process with Domain Adaptation

11 citations · 11 across the 2 of their papers we have counts for

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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…