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@@ -5,7 +5,7 @@ polynomial time. %Our objective function, commonly known as the Bayes $D$-optima
A natural question to ask is to what extent ou results
%we present here
generalize to other machine learning tasks beyond linear regression. We outline
-a path to such a generalization in \cite{arxiv}: %. In
+a path to such a generalization in Appendix~\ref{sec:ext}: %. In
%particular, although the information gain is not generally a submodular
%function, we show that
for a wide class of models in which experiment