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Jiaxin Shi jiaxins at stanford.edu

Talk Slides

  • Foundations of differentiable programming in probabilistic models
  • Sampling with mirrored Stein operators
  • Neural networks as inter-domain inducing points
  • Function-space orthogonality in probabilistic learning
  • Sparse orthogonal variational inference for Gaussian processes
  • Inference networks for Gaussian processes
  • A spectral approach to gradient estimation for implicit distributions

Notes

  • Natural gradient, variational inference, and catastrophic forgetting
  • Dimension reduction and Nyström methods
  • Notes on deep belief networks (DBN)