Let $X= (X_1,\dots, X_d)$ be a fixed vector of random variables on the space $(\Omega, \mathcal{F}, \mathbb{P})$. Consider the following set.
\begin{equation}\label{main12} C= \{x\in \mathbb{R}^d ~|~ h(x)\leq \mathop{\sup}_{Q\in \mathcal{D}}\mathbb{E}_{Q}(h(X)),\qquad \forall h\in \mathcal{A}\}, \end{equation}
where $\mathbb{E}_{Q}$ is the expectation with respect to a measure $Q$ (integration in measure theory language), $\mathcal{D}$ is a set of probability measures and $\mathcal{A} = \{h~|~ h: \mathbb{R}^d \rightarrow \mathbb{R},\qquad h \hbox{ is a non-linear convex function}\}$.
Can we characterize the set $C$? Or, at least can we say something about how to approximate the elements of $C$?