BITESIZE | Making Variational Inference Reliable: From ADVI to DADVI

#147 Fast Approximate Inference without Convergence Worries, with Martin Ingram

BITESIZE | Why Bayesian Stats Matter When the Physics Gets Extreme

#146 Lasers, Planets, and Bayesian Inference, with Ethan Smith

BITESIZE | How to Thrive in an AI-Driven Workplace?

#145 Career Advice in the Age of AI, with Jordan Thibodeau

BITESIZE | Why is Bayesian Deep Learning so Powerful?

#144 Why is Bayesian Deep Learning so Powerful, with Maurizio Filippone

BITESIZE | Are Bayesian Models the Missing Ingredient in Nutrition Research?

#143 Transforming Nutrition Science with Bayesian Methods, with Christoph Bamberg

BITESIZE | How Bayesian Additive Regression Trees Work in Practice

#142 Bayesian Trees & Deep Learning for Optimization & Big Data, with Gabriel Stechschulte

BITESIZE | How Probability Becomes Causality?

#141 AI Assisted Causal Inference, with Sam Witty

BITESIZE | How to Think Causally About Your Models?

#140 NFL Analytics & Teaching Bayesian Stats, with Ron Yurko

BITESIZE | Is Bayesian Optimization the Answer?

#139 Efficient Bayesian Optimization in PyTorch, with Max Balandat

BITESIZE | What's Missing in Bayesian Deep Learning?

#138 Quantifying Uncertainty in Bayesian Deep Learning, Live from Imperial College London