Authors

Subscribe:.rss.atom.json.md

Publishes 1 feed

• Bayesian Deep Learning - Probabilistic AI

  10 posts · contributor

Lately

• MLSS 2019 David Blei: Variational Inference: Foundations and Innovations (Part 1)

  Bayesian Deep Learning - Probabilistic AI · 2019-02-01

• David Blei Variational Inference Foundations and Innovations Part 2

  Bayesian Deep Learning - Probabilistic AI · 2019-01-15

• [DeepBayes2018]: Day 3, Invited talk 1. Advanced methods of variational inference

  Bayesian Deep Learning - Probabilistic AI · 2018-09-01

• A Short Introduction to Entropy, Cross-Entropy and KL-Divergence

  Bayesian Deep Learning - Probabilistic AI · 2018-02-05

• Variational Inference: Foundations and Modern Methods (NIPS 2016 tutorial)

  Bayesian Deep Learning - Probabilistic AI · 2018-01-18

• Yee Whye Teh: On Bayesian Deep Learning and Deep Bayesian Learning (NIPS 2017 Keynote)

  Bayesian Deep Learning - Probabilistic AI · 2017-12-08

• ML Tutorial: Bayesian Machine Learning (Zoubin Ghahramani)

  Bayesian Deep Learning - Probabilistic AI · 2017-12-07

• Probabilistic Machine Learning - Prof. Zoubin Ghahramani

  Bayesian Deep Learning - Probabilistic AI · 2017-11-12

• Scaling Up Bayesian Inference for Big and Complex Data

  Bayesian Deep Learning - Probabilistic AI · 2017-05-01

• Variational Inference: Foundations and Innovations

  Bayesian Deep Learning - Probabilistic AI · 2017-05-01

Everything on this page was read from markup The Artificial Intelligence Channel published — a rel="me" link, an h-card, or the feed’s own author element. Nothing was inferred from anywhere else. To correct or remove it, get in touch. Machine-readable: JSON