Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

Robert B. Gramacy, Nicholas G. Polson, Particle Learning of Gaussian Process Models for Sequential Design and Optimization, Journal of Computational and Graphical Statistics, Vol. 20, No. 1 (March ...

This paper proposes a Bayesian method to estimate shape-restricted functions using Gaussian process priors. The proposed model enforces shape-restrictions by assuming that the derivatives of the ...