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Rui Tuo
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Privacy-aware Gaussian Process Regression
Aggregation Models with Optimal Weights for Distributed Gaussian Processes
From Deep Additive Kernel Learning to Last-Layer Bayesian Neural Networks via Induced Prior Approximation
Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations
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