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Ilyes Khemakhem, Diederik P. Kingma, Ricardo Pio Monti, Aapo Hyvarinen · Variational Autoencoders and Nonlinear ICA: A Unifying Framework · SlidesLive
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Guillaume Garrigos on X: "Yet another shameless advertisement for a poster, in collaboration with @gowerrobert and J. Domke! Tweaking SGD proofs to guarantee convergence for classical Black-box variational inference! Poster #1300 at #
![Deep Variational Inference. Studying Variational Inference using DL… | by Natan Katz | Towards Data Science Deep Variational Inference. Studying Variational Inference using DL… | by Natan Katz | Towards Data Science](https://miro.medium.com/v2/resize:fit:966/1*BICDjQmkn4YxBwKTxZPd9Q.png)
Deep Variational Inference. Studying Variational Inference using DL… | by Natan Katz | Towards Data Science
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The equivalence between Stein variational gradient descent and black-box variational inference - YouTube
GitHub - jamesvuc/BBVI: A collection of Black Box Variational Inference algorithms implemented in an object-oriented Python framework using Autograd.
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Explaining a Black-box Using Deep Variational Information Bottleneck Approach – Machine Learning Blog | ML@CMU | Carnegie Mellon University
![PDF] Black Box Variational Inference by Rajesh Ranganath, Sean Gerrish, David M. Blei · 2153185114 · OA.mg PDF] Black Box Variational Inference by Rajesh Ranganath, Sean Gerrish, David M. Blei · 2153185114 · OA.mg](https://og.oa.mg/Black%20Box%20Variational%20Inference.png?author=%20Rajesh%20Ranganath,%20Sean%20Gerrish,%20David%20M.%20Blei)