Features
- Batch GPs, which previously were a feature, are now well-documented and much more stable [(see docs)](https://gpytorch.readthedocs.io/en/latest/batch_gps.html)
- Can add "fantasy observations" to models.
- Option for exact marginal log likelihood and sampling computations (this is slower, but potentially useful for debugging) (`gpytorch.settings.fast_computations`)
Bug fixes
- Easier usage of batch GPs
- Reduce bugs in [additive regression models](https://gpytorch.readthedocs.io/en/latest/examples/05_Scalable_GP_Regression_Multidimensional/KISSGP_Additive_Regression_CUDA.html)