Talks
- Function-space orthogonality in probabilistic learning
- Sparse orthogonal variational inference for Gaussian processes
- Inference networks for Gaussian processes
- Natural gradient, variational inference, and catastrophic forgetting
- A spectral approach to gradient estimation for implicit distributions
- Dimension reduction and Nyström methods