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@@ -29,10 +29,11 @@ However, we are not aware of a principled study of this setting from a strategic
Our contributions are as follows.
\begin{itemize}
\item
-We initiate the study of experimental design problem in presence of budgets and strategic subjects.
+We initiate the study of experimental design problem in presence of a budget and strategic subjects.
%formulate the problem of experimental design subject to a given budget, in the presence of strategic agents who may lie about their costs. %In particular, we focus on linear regression. This is naturally viewed as a budget feasible mechanism design problem, in which the objective function %is sophisticated and
%is related to the covariance of the $x_i$'s.
- In particular, we formulate the {\em Experimental Design Problem} (\SEDP) as follows: the experimenter \E\ wishes to find set $S$ of subjects to maximize
+ In particular, we formulate the {\em Experimental Design Problem} (\SEDP) as
+ follows: the experimenter \E\ wishes to find a set $S$ of subjects to maximize
\begin{align}V(S) = \log\det\Big(I_d+\sum_{i\in S}x_i\T{x_i}\Big) \label{obj}\end{align}
subject to a budget constraint $\sum_{i\in S}c_i\leq B$, where $B$ is \E's budget. When subjects are strategic, the above problem can be naturally approached as a \emph{budget feasible mechanism design} problem, as introduced by \citeN{singer-mechanisms}.
%, and other {\em strategic constraints} we don't list here.