Bayesian Inference

by Synced 2021-05-20 2

ETH Zürich Identifies Priors That Boost Bayesian Deep Learning Models

A research team from ETH Zürich presents an overview of priors for (deep) Gaussian processes, variational autoencoders and Bayesian neural networks. The researchers propose that well-chosen priors can achieve theoretical and empirical properties such as uncertainty estimation, model selection and optimal decision support; and provide guidance on how to choose them.

by Synced 2020-11-06 37

AI Research

MIT, UChicago, Harvard, Diffeo Researchers Use Bayesian Inference to Cook Up Multi-Agent Collaboration

MIT, UChicago, Harvard and Diffeo *Bayesian Delegation* multi-agent learning mechanism enables agents to coordinate behaviour on the fly

by Synced 2020-02-21 0

AI Machine Learning & Data Science Research

A look at The Case for Bayesian Deep Learning

Bayesian inference meanwhile leverages Bayes’ theorem to update the probability of a hypothesis as additional data becomes available. How can Bayesian inference benefit deep learning models?