From 0f9dd86764035eec8a8f79cd0a457d08d2522dae Mon Sep 17 00:00:00 2001
From: Stratis Ioannidis <stratis@stratis-Latitude-E6320.(none)>
Date: Thu, 4 Jul 2013 15:24:11 -0700
Subject: mechanism

---
 problem.tex | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

(limited to 'problem.tex')

diff --git a/problem.tex b/problem.tex
index a00e2f6..6f07d29 100644
--- a/problem.tex
+++ b/problem.tex
@@ -79,12 +79,12 @@ d}.$ Intuitively, this corresponds to the simplest prior, in which no direction
 of $\reals^d$ is a priori favored; equivalently, it also corresponds to the
 case where ridge regression estimation \eqref{ridge} performed by $\E$ has
 a penalty term $\norm{\beta}_2^2$. A generalization of our results to arbitrary 
-covariance matrices $R$ can be found in Section~\ref{sec:ext}.
+covariance matrices $R$ can be found in Appendix~\ref{sec:ext}.
 
  %Note that \eqref{dcrit} is a submodular set function, \emph{i.e.}, 
 %$V(S)+V(T)\geq V(S\cup T)+V(S\cap T)$ for all $S,T\subseteq \mathcal{N}$; it is also monotone, \emph{i.e.}, $V(S)\leq V(T)$ for all $S\subset T$.
 
-\subsection{Budget-Feasible Experimental Design: Full Information Case}
+\subsection{Budget-Feasible Experimental Design: Full Information Case}\label{sec:fullinfo}
 
 Beyond the cardinality constraint in classical experimental design discussed above, a 
  budgeted version can also be considered. 
-- 
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