shoot me

paper/appendix.tex

@@ -120,8 +120,7 @@ Aside from the additional penalties in Equation~\ref{eq:eccco-app}, the only key
   \end{aligned}
 \end{equation}
 
-we take these parameters as fixed in our counterfactual search. 
-
+During the counterfactual search we take the network parameters as fixed and instead optimize with respect to counterfactual itself:
 
 
 \subsubsection{A Note on Convergence}

paper/body.tex

@@ -142,7 +142,7 @@ Equation~\ref{eq:impl} gives rise to a similar evaluation metric for unfaithfuln
   \end{aligned}
 \end{equation}
 
-Our default choice for the $\text{dist}(\cdot)$ in both cases is the L1 Norm, which is consistent with the common choice for evaluating counterfactuals with respect to the closeness desideratum~\citep{pawelczyk2021carla,pawelczyk2022probabilistically}. 
+Our default choice for the $\text{dist}(\cdot)$ function in both cases is the Euclidean Norm.
 
 \section{Energy-Constrained Conformal Counterfactuals}\label{meth}