diff --git a/GPy/models/sparse_gp_regression.py b/GPy/models/sparse_gp_regression.py
index 4980d26a..99176601 100644
--- a/GPy/models/sparse_gp_regression.py
+++ b/GPy/models/sparse_gp_regression.py
@@ -88,7 +88,7 @@ class SparseGPRegressionUncertainInput(SparseGP):
 
         # kern defaults to rbf (plus white for stability)
         if kernel is None:
-            kernel = kern.rbf(input_dim)  + kern.white(input_dim, variance=1e-3)
+            kernel = kern.RBF(input_dim) + kern.White(input_dim, variance=1e-3)
 
         # Z defaults to a subset of the data
         if Z is None:
@@ -99,5 +99,5 @@ class SparseGPRegressionUncertainInput(SparseGP):
 
         likelihood = likelihoods.Gaussian()
 
-        SparseGP.__init__(self, X, Y, Z, kernel, likelihood, X_variance=X_variance)
+        SparseGP.__init__(self, X, Y, Z, kernel, likelihood, X_variance=X_variance, inference_method=VarDTC())
         self.ensure_default_constraints()