Course:CPSC532:StaRAI2020:BlackboxVariationalInference - UBC Wiki
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 #
Explaining a Black-box Using Deep Variational Information Bottleneck Approach – Machine Learning Blog | ML@CMU | Carnegie Mellon University
Deep Variational Inference. Studying Variational Inference using DL… | by Natan Katz | Towards Data Science
Bayesian learning for neural networks: an algorithmic survey | Artificial Intelligence Review
PDF] Robust, Automated, and Accurate Black-box Variational Inference | Semantic Scholar
Black-Box Variational Inference for Stochastic Differential Equations on Vimeo
Survey of Parameterizations Used in Black-Box Variational Inference | Download Scientific Diagram
PDF] On the Convergence of Black-Box Variational Inference | Semantic Scholar
Black Box Variational Inference | Ingmar's research blog