Quantum algorithms for training Gaussian Processes

28 Mar 2018Zhikuan ZhaoJack K. FitzsimonsMichael A. OsborneStephen J. RobertsJoseph F. Fitzsimons

Gaussian processes (GPs) are important models in supervised machine learning. Training in Gaussian processes refers to selecting the covariance functions and the associated parameters in order to improve the outcome of predictions, the core of which amounts to evaluating the logarithm of the marginal likelihood (LML) of a given model... (read more)

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