Y Combinator
The Case for Bayesian Deep Learning
1 min · · Shared by 7, including hardmaru, Oleg Baskov
example.com
The Case for Bayesian Deep Learning
12+ min · · The Case for Bayesian Deep Learning Andrew Gordon Wilson Abstract Bayesian inference is especially compelling for deep neural networks. The key distinguishing property of a Bayesian approach is margin · Shared by 16, including hardmaru, sircharlsxavier, Oleg Baskov, Prof. Anima Anandkumar
jacobbuckman.com
A Sober Look at Bayesian Neural Networks
8 min · · by Carles Gelada and Jacob Buckman Context: About a month ago Carles asserted on Twitter that Bayesian Neural Networks make no sense. This generated lots of good discussion, including a thorough… · Shared by 34, including AGI.Eth | MTL.Eth, hardmaru, Matthias Lampe, Oleg Baskov, sircharlsxavier
Aeon+Psyche
What is it to be Bayesian? The (pretty simple) math modelling behind a Big Data buzzword
2 min · · If you’ve ever tripped up over the term ‘Bayesian’ while reading up on data or tech, fear not. Strip away the jargon and notation, and even the mathematics-averse can make sense of the simple yet… · Shared by 196, including fnord, Tom Connor, ɐpuɐʎᴉW ᴉʇɐʍɥǝN, Jennifer Stirrup #MBA Topics: #AI #Data #Strategy, rohit, Shawn Venasse, 🧠 Larry G. Maguire
jacobbuckman.com
Bayesian Neural Networks Need Not Concentrate
10 min · · by Carles Gelada and Jacob Buckman Proponents of Bayesian neural networks often claim that trained BNNs output distributions which capture epistemic uncertainty. Epistemic uncertainty is incredibly… · Shared by 17, including Balda, Oleg Baskov, Nathan Benaich, Mike Tamir, PhD
AI Papers
How Good is the Bayes Posterior in Deep Neural Networks Really?
1 min · · During the past five years the Bayesian deep learning community has developed increasingly accurate and efficient approximate inference procedures that allow for Bayesian inference in deep neural… · Shared by 14, including Oleg Baskov, Ilya Sutskever, Sebastian Raschka, hardmaru