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Optimizing Sequential Experimental Design with Deep Reinforcement Learning
Generic Inference in Latent Gaussian Process Models.
Variational Network Inference: Strong and Stable with Concrete Support
Gray-box inference for structured Gaussian process models
Scalable inference for Gaussian process models with black-box likelihoods
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