An agent selectively samples attributes of a complex project so as to influence the decision
of a principal. The players disagree about the weighting, or relevance, of attributes. The …

Gaussian processes (GPs) are widely used as surrogate models for emulating computer
code, which simulate complex physical phenomena. In many problems, additional boundary …

Despite their success, kernel methods suffer from a massive computational cost in practice.
In this paper, in lieu of commonly used kernel expansion with respect to $ N $ inputs, we …

From buyers appraising complex products to policymakers evaluating novel program at pilot
sites, important decisions rely on selective exploration of multi-attribute objects. This paper …

It is known that incorporating gradient information can significantly enhance the prediction
accuracy of stochastic kriging. However, such an enhancement cannot be scaled trivially to …