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cs.LG2025
Warm-Starting Iterative Gaussian Processes for Faster Sequential Inference
Alan Yufei Dong, Jihao Andreas Lin, José Miguel Hernández-Lobato
Efficient Gaussian process (GP) inference is critical for sequential decision-making tasks such as active learning, online prediction, and Bayesian optimization. Iterative approach…
cs.LG2025
Scalable Gaussian Processes with Latent Kronecker Structure
Jihao Andreas Lin, Sebastian Ament, Maximilian Balandat +3
Applying Gaussian processes (GPs) to very large datasets remains a challenge due to limited computational scalability. Matrix structures, such as the Kronecker product, can acceler…