gpytorch/variational/delta_variational_distribution.py

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Mutant 284

--- gpytorch/variational/delta_variational_distribution.py
+++ gpytorch/variational/delta_variational_distribution.py
@@ -18,7 +18,7 @@
     :param float mean_init_std: (default=1e-3) Standard deviation of gaussian noise to add to the mean initialization.
     """
 
-    def __init__(self, num_inducing_points, batch_shape=torch.Size([]), mean_init_std=1e-3, **kwargs):
+    def __init__(self, num_inducing_points, batch_shape=torch.Size([]), mean_init_std=1.001, **kwargs):
         super().__init__(num_inducing_points=num_inducing_points, batch_shape=batch_shape, mean_init_std=mean_init_std)
         mean_init = torch.zeros(num_inducing_points)
         mean_init = mean_init.repeat(*batch_shape, 1)