W11 T02 Fix typo

w11_l2l_hpo_control/t02_control.tex

@@ -172,7 +172,7 @@
 \begin{frame}[c]{Dynamic Algorithm Configuration across Datasets \litw{\href{https://ml.informatik.uni-freiburg.de/papers/20-ECAI-DAC.pdf}{Biedenkapp et al. 2020}}}
 
 \begin{itemize}
-	\item Challenge: Evaluating a policies on all datasets is often not feasible
+	\item Challenge: Evaluating a policy on all datasets is often not feasible
 	\pause
 	\item Curriculum learning \lit{\href{https://dl.acm.org/doi/10.1145/1553374.1553380}{Bengio et al. 2009}} showed that we should have a curriculum of tasks we tackle
 	\pause

w12_analysis/t03_local_importance.tex

@@ -221,7 +221,7 @@
 \begin{array}{ll}
 \confI{\text{start}} = [1, 1, 0, 100] & \loss_{\text{start}} = 20\% \nonumber\\
 \confI{s1} = [1, 1, \alert{1}, 100]  & \loss = 7\% \nonumber\\
-\confI{s1} = [1, 1, 1, \alert{42}]  & \loss = 5\% \nonumber\\
+\confI{s2} = [1, 1, 1, \alert{42}]  & \loss = 5\% \nonumber\\
 \confI{s3} = [\alert{0.98}, 1, 1, 42] & \loss = 4\% \nonumber\\
 \confI{s4} = [0.98, \alert{2.42}, 1, 42] & \loss = 4\% \nonumber\\
 \confI{\text{end}} = [0.98, 2.42, 1, 42]  & \loss_{\text{end}} = 4\% \nonumber

w13_beyond_automl/t02_racing.tex

@@ -246,7 +246,7 @@
 \pause
 \medskip
 
-\begin{block}{Definition: $N(\conf)$ and $c_N(\conf)$}
+\begin{block}{Definition: $N(\conf)$ and $\hat{c}_N(\conf)$}
 \alert{$N(\conf)$} denotes the number of runs executed for $\conf$ so far.\\
 \alert{$\hat{c}_N(\conf)$} denotes the cost estimate of $\conf$ based on $N$ runs.
 \end{block}