"Is Bayesian deep learning the most brilliant thing ever?" - a panel discussion

Panelists: Max Welling Ryan Adams Jose Miguel Hernandez Lobato Ian Goodfellow Shakir Mohamed Moderator: Neil Lawrence --- Bayesian Deep Learning Workshop NIPS 2016 December 10, 2016 — Centre Convencions Internacional Barcelona, Barcelona, Spain

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History of Bayesian Neural Networks (Keynote talk)
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History of Bayesian Neural Networks (Keynote talk)

The PROBLEM with Capitalism - Smarter Every Day 316
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The PROBLEM with Capitalism - Smarter Every Day 316

How to Restore a Broken Relationship
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How to Restore a Broken Relationship

17 Probabilistic Graphical Models and Bayesian Networks
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17 Probabilistic Graphical Models and Bayesian Networks

Why does every mammal get 1 billion heartbeats in their life?
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Why does every mammal get 1 billion heartbeats in their life?

Andrew Rowan - Bayesian Deep Learning with Edward (and a trick using Dropout)
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Andrew Rowan - Bayesian Deep Learning with Edward (and a trick using Dropout)

Eric J. Ma - An Attempt At Demystifying Bayesian Deep Learning
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Eric J. Ma - An Attempt At Demystifying Bayesian Deep Learning

But what is a neural network? | Deep learning chapter 1
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But what is a neural network? | Deep learning chapter 1

Yarin Gal -. Bayesian Deep Learning
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Yarin Gal -. Bayesian Deep Learning

BNNs for RL: A Success Story and Open Questions
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BNNs for RL: A Success Story and Open Questions

Yann LeCun - Power & Limits of Deep Learning
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Yann LeCun - Power & Limits of Deep Learning

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

Geoffrey Hinton: "Introduction to Deep Learning & Deep Belief Nets"
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Geoffrey Hinton: "Introduction to Deep Learning & Deep Belief Nets"

From Deep Learning of Disentangled Representations to Higher-level Cognition
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From Deep Learning of Disentangled Representations to Higher-level Cognition

Nonparametric Bayesian Methods: Models, Algorithms, and Applications I
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Nonparametric Bayesian Methods: Models, Algorithms, and Applications I

Bayesian Deep Learning and Probabilistic Model Construction - ICML 2020 Tutorial
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Bayesian Deep Learning and Probabilistic Model Construction - ICML 2020 Tutorial

Variational Inference and Deep Learning: An Intuitive Introduction
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Variational Inference and Deep Learning: An Intuitive Introduction

Deep Learning of AI - Yoshua Bengio
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Deep Learning of AI - Yoshua Bengio

Categorical Reparameterization with Gumbel-Softmax & The Concrete Distribution
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Categorical Reparameterization with Gumbel-Softmax & The Concrete Distribution

Connections between physics and deep learning
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Connections between physics and deep learning