59 citations · 282 across the 64 of their papers we have counts for
3 papers · 2 filters
Bayesian Learning for Neural Networks: an algorithmic survey
Martin Magris, Alexandros Iosifidis
The last decade witnessed a growing interest in Bayesian learning. Yet, the technicality of the topic and the multitude of ingredients involved therein, besides the complexity of t…
Manifold Gaussian Variational Bayes on the Precision Matrix
Martin Magris, Mostafa Shabani, Alexandros Iosifidis
We propose an optimization algorithm for Variational Inference (VI) in complex models. Our approach relies on natural gradient updates where the variational space is a Riemann mani…
Quasi Black-Box Variational Inference with Natural Gradients for Bayesian Learning
Martin Magris, Mostafa Shabani, Alexandros Iosifidis
We develop an optimization algorithm suitable for Bayesian learning in complex models. Our approach relies on natural gradient updates within a general black-box framework for effi…