Within the scope of our recent approach for Efficient Unsupervised Constitutive Law Identification and Discovery (EUCLID), we propose an unsupervised Bayesian learning framework discovery parsimonious interpretable constitutive laws with quantifiable uncertainties. As in deterministic EUCLID, do not resort to stress data, but only realistically measurable full-field displacement global reaction...