From 565ca81772eedfceda0d3ea7b69174718e9f6cc5 Mon Sep 17 00:00:00 2001
From: Stratis Ioannidis <stratis@stratis-Latitude-E6320.(none)>
Date: Wed, 31 Oct 2012 00:38:32 -0700
Subject: stuff

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 general.tex | 5 +++++
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+\subsection{Bayesian Experimental Design}
+TODO: Introduce prior with covariance $\sigma^2 R$. Change in entropy/ mutual information is then ... So our scheme can be seen as Baysian prior with $R=I_d$. Extension of our main theorem.
+
+\subsection{Beyond Linear Models}
+TODO: Independent noise model. Captures models such as logistic regression, classification, etc. Arbitrary prior. Show that change in the entropy is submodular (cite Krause, Guestrin). 
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