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Visibility Metric for Visually Lossless Image Compression
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Maximizing Acquisition Functions for Bayesian Optimization
Bayesian optimization is a sample-efficient approach to global optimization that relies on theoretically motivated value heuristics …
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Orthogonally Decoupled Variational Gaussian Processes
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Meta Reinforcement Learning with Latent Variable Gaussian Processes
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Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control
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A mixture of experts model for predicting persistent weather patterns
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Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches
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Gaussian Process Conditional Density Estimation
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Psychometric scaling of TID2013 dataset
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Doubly Stochastic Variational Inference for Deep Gaussian Processes
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