diff --git a/gtsam/linear/GaussianConditional.cpp b/gtsam/linear/GaussianConditional.cpp
index 10f4eabbb..7792e119b 100644
--- a/gtsam/linear/GaussianConditional.cpp
+++ b/gtsam/linear/GaussianConditional.cpp
@@ -205,9 +205,14 @@ namespace gtsam {
   }
 
   /* ************************************************************************* */
-  double GaussianConditional::evaluate(const VectorValues& c) const {
-    return exp(logProbability(c));
+  double GaussianConditional::evaluate(const VectorValues& x) const {
+    return exp(logProbability(x));
   }
+
+  double GaussianConditional::evaluate(const HybridValues& x) const {
+    return evaluate(x.continuous());
+  }
+
   /* ************************************************************************* */
   VectorValues GaussianConditional::solve(const VectorValues& x) const {
     // Concatenate all vector values that correspond to parent variables
diff --git a/gtsam/linear/GaussianConditional.h b/gtsam/linear/GaussianConditional.h
index 18f0257cb..15efeae01 100644
--- a/gtsam/linear/GaussianConditional.h
+++ b/gtsam/linear/GaussianConditional.h
@@ -262,7 +262,12 @@ namespace gtsam {
      */
     double logProbability(const HybridValues& x) const override;
 
-    using Conditional::evaluate; // Expose evaluate(const HybridValues&) method..
+    /**
+     * Calculate probability for HybridValues `x`.
+     * Simply dispatches to VectorValues version.
+     */
+    double evaluate(const HybridValues& x) const override;
+
     using Conditional::operator(); // Expose evaluate(const HybridValues&) method..
     using JacobianFactor::error; // Expose error(const HybridValues&) method..