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Course:CPSC532:StaRAI2020:BlackboxVariationalInference - UBC Wiki

Provable Smoothness Guarantees for Black-Box Variational Inference | DeepAI

Explaining a Black-box Using Deep Variational Information Bottleneck Approach – Machine Learning Blog | ML@CMU | Carnegie Mellon University

Marginalized Stochastic Natural Gradients for Black-Box Variational Inference Poster

Perturbative Black Box Variational Inference | DeepAI

PDF] Black Box Variational Inference by Rajesh Ranganath, Sean Gerrish, David M. Blei · 2153185114 · OA.mg

Bayesian learning for neural networks: an algorithmic survey | Artificial Intelligence Review

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 #

Variational Inference

Robust, Automated, and Accurate Black-box Variational Inference

Ilyes Khemakhem, Diederik P. Kingma, Ricardo Pio Monti, Aapo Hyvarinen · Variational Autoencoders and Nonlinear ICA: A Unifying Framework · SlidesLive

Black-Box Variational Inference for Stochastic Differential Equations on Vimeo

PDF) Black-box Variational Inference for Stochastic Differential Equations

Black Box Variational Inference

Boosting Black Box Variational Inference

Black Box Variational Inference

GitHub - jamesvuc/BBVI: A collection of Black Box Variational Inference algorithms implemented in an object-oriented Python framework using Autograd.

Evaluating probabilistic programming and fast variational Bayesian inference in phylogenetics [PeerJ]

Variational Inference: Innovations - 知乎

Automatic/Black-box variational inference replication vs Autograd - Machine Learning - Julia Programming Language

PDF] Black Box Variational Inference | Semantic Scholar

Black-box Coreset Variational Inference | DeepAI