Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes
Panagiotis Tsilifis, Piyush Pandita, Sayan Ghosh, Valeria Andreoli, Thomas Vandeputte, Liping Wang
Topics & Concepts
AlgorithmComputer scienceMarkov chain Monte CarloOrthonormal basisSubspace topologyBayesian inferenceGaussian processProjection (relational algebra)GaussianBayesian probabilityMathematical optimizationMachine learningMathematicsArtificial intelligenceQuantum mechanicsPhysicsGaussian Processes and Bayesian InferenceProbabilistic and Robust Engineering DesignAdvanced Multi-Objective Optimization Algorithms