Understanding Flexible Approximate Inference Via Stratified Normalizing Flows

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Key Takeaways about Flexible Approximate Inference Via Stratified Normalizing Flows

  • So in addition to being just an interesting way to parameterize the
  • This short tutorial covers the basics of
  • Video accompanying the paper "Variational
  • Summary presentation of "Preconditioned training of
  • Speaker: Juan Maroñas, a PhD Student at Polytechnic University of Valencia About the talk: Gaussian Processes (GPs) can be ...

Detailed Analysis of Flexible Approximate Inference Via Stratified Normalizing Flows

Holden Lee (Duke University) Meet the Fellows Welcome Event. Bayesian statistical Normalizing flow

A newer and more complete recording of this tutorial was made at CVPR 2021 and is available here: ...

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