diff --git a/causallearn/utils/KCI/KCI.py b/causallearn/utils/KCI/KCI.py
index 41cbd467..433107cc 100644
--- a/causallearn/utils/KCI/KCI.py
+++ b/causallearn/utils/KCI/KCI.py
@@ -474,7 +474,7 @@ def kernel_matrix(self, data_x, data_y, data_z):
         return Kx, Ky, Kzx, Kzy
 
     def KCI_V_statistic(self, Kx, Ky, Kzx, Kzy):
-        """
+        r"""
         Compute V test statistic from kernel matrices Kx and Ky
         Parameters
         ----------
diff --git a/causallearn/utils/KCI/Kernel.py b/causallearn/utils/KCI/Kernel.py
index c062a844..a7ea31dc 100644
--- a/causallearn/utils/KCI/Kernel.py
+++ b/causallearn/utils/KCI/Kernel.py
@@ -41,7 +41,7 @@ def center_kernel_matrix(K: ndarray):
         return K - (K_colsums[None, :] + K_colsums[:, None]) / n + (K_allsum / n ** 2)
 
     def center_kernel_matrix_regression(K: ndarray, Kz: ndarray, epsilon: float):
-        """
+        r"""
         Centers the kernel matrix via a centering matrix R=I-Kz(Kz+\epsilonI)^{-1} and returns RKR
         """
         n = shape(K)[0]