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authorThibaut Horel <thibaut.horel@gmail.com>2016-02-29 19:39:56 -0500
committerThibaut Horel <thibaut.horel@gmail.com>2016-02-29 19:39:56 -0500
commit310718cb00370138b8d6f0e8a8222e5ecdda843c (patch)
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parent49880b3de9e4a4a190e26d03dbe093e3534823de (diff)
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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