typo multicrit practical

slds-lmu · Feb 4, 2025 · 46c5104 · 46c5104
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diff --git a/slides/06-constrained/slides-constrained-2-lp.tex b/slides/06-constrained/slides-constrained-2-lp.tex
@@ -150,7 +150,7 @@
 
 \lz
 
-Details about LPs in statistical estimation can be found, e.g., in the PhD thesis of \href{ttps://etd.ohiolink.edu/apexprod/rws_etd/send_file/send?accession=osu1222035715&disposition=inline}{\beamergotobutton{Yonggong Gao}}). 
+Details about LPs in statistical estimation can be found, e.g., in the PhD thesis of \href{https://etd.ohiolink.edu/apexprod/rws_etd/send_file/send?accession=osu1222035715&disposition=inline}{\beamergotobutton{Yonggong Gao}}). 
 
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diff --git a/slides/11-multicrit/slides-multicrit-4-practical.tex b/slides/11-multicrit/slides-multicrit-4-practical.tex
@@ -86,7 +86,7 @@
   \item Optimizer: multi-criteria Bayesian optimization
   \begin{itemize}
     \item ParEGO with $\rho=0.05$, $s=100000$
-    \item Acquisition: Confidence Bound ($\alpha=2$)
+    \item Acquisition: Confidence Bound ($\tau=2.0$)
     \item Budget: 100 evaluations
   \end{itemize}
   \item Tuning is done on a training holdout, and the hyperparameter configs on the estimated Pareto front are validated on external test set.
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     \lz
-    Details about LPs in statistical estimation can be found, e.g., in the PhD thesis of \href{ttps://etd.ohiolink.edu/apexprod/rws_etd/send_file/send?accession=osu1222035715&disposition=inline}{\beamergotobutton{Yonggong Gao}}).
+    Details about LPs in statistical estimation can be found, e.g., in the PhD thesis of \href{https://etd.ohiolink.edu/apexprod/rws_etd/send_file/send?accession=osu1222035715&disposition=inline}{\beamergotobutton{Yonggong Gao}}).
     \framebreak
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