Why Bayesians Have an Edge in AIAug 3, 2026

0:00

1x0:00

Episodes

Why Bayesians Have an Edge in AI

Aug 3, 202600:04:26

#162 Bayesian Hydrology & GPU AI, with Christopher Krapu

Jul 28, 202601:04:50

The Next Step Beyond LLMs: Foundation Models for Inference

Jul 22, 202600:05:35

#161 Amortized Inference & Neural Processes, with Luigi Acerbi

Jul 16, 202601:32:14

Bayesian Statistics vs Epistemology, with Vaden Masrani

Jun 29, 202601:40:31

Why Bayesian Statistics Is More Computational Than Ever

Jun 19, 202600:04:46

Exact GPs vs Approximations: When to Use Each (and Why It Matters)

Jun 10, 202600:04:25

#159 Bayesian Occupancy Models, with Matthijs Hollanders

Jun 8, 202601:26:06

Can AI Learn What Experts Know? Automating Prior Elicitation with Generative Models

Jun 2, 202600:04:50

#158 Bayesian Workflows & Foundation Models, with Stefan Radev

May 21, 202601:18:31

The Hidden Geometry of Hierarchical Models

May 13, 202600:03:57

#157 Amortized Inference & BayesFlow in Practice, with Stefan Radev

May 6, 202601:18:43

How to Design Better Experiments with Expected Information Gain

May 1, 202600:05:42

#156 Bayesian Experimental Design & Active Learning, with Adam Foster

Apr 25, 202601:16:43

Pricing Under Uncertainty: A Bayesian Workflow

Apr 16, 202600:05:03

#155 Probabilistic Programming for the Real World, with Andreas Munk

Apr 8, 202601:54:07

Bitesize | "What Would Have Happened?" - Bayesian Synthetic Control Explained

Apr 2, 202600:05:23

#154 Bayesian Causal Inference at Scale, with Thomas Pinder

Mar 25, 202601:26:18

#153 The Neuroscience of Philanthropy, with Cherian Koshy

Mar 11, 202601:09:12

Bitesize | How To Model Risk Aversion In Pricing?

Mar 4, 202600:03:34

#152 A Bayesian decision theory workflow, with Daniel Saunders

Feb 26, 202601:19:18

BITESIZE | How Do Diffusion Models Work?

Feb 19, 202600:03:40

#151 Diffusion Models in Python, a Live Demo with Jonas Arruda

Feb 12, 202601:35:43

#150 Fast Bayesian Deep Learning, with David Rügamer, Emanuel Sommer & Jakob Robnik

Jan 28, 202601:20:27

BITESIZE | Building Resilience in Modern Tech Careers

Jan 21, 202600:25:22

#149 The Future of Work in Tech, with Alana Karen

Jan 14, 202601:32:32

BITESIZE | The Trial Design That Learns in Real Time

Jan 7, 202600:22:09

#148 Adaptive Trials, Bayesian Thinking, and Learning from Data, with Scott Berry

Dec 30, 202501:24:49

#76 The Past, Present & Future of Stan, with Bob Carpenter

Feb 1, 202301:11:10

#75 The Physics of Top Gun 2 Maverick, with Jason Berndt

Jan 20, 202301:07:26

#73 A Guide to Plotting Inferences & Uncertainties of Bayesian Models, with Jessica Hullman

Dec 23, 202201:00:55

#70 Teaching Bayes for Biology & Biological Engineering, with Justin Bois

Oct 22, 202201:05:31

#63 Media Mix Models & Bayes for Marketing, with Luciano Paz

Jun 28, 202201:14:43

#61 Why we still use non-Bayesian methods, with EJ Wagenmakers

May 19, 202201:16:45

#60 Modeling Dialogues & Languages, with J.P. de Ruiter

Apr 30, 202201:12:35

#58 Bayesian Modeling and Computation, with Osvaldo Martin, Ravin Kumar and Junpeng Lao

Mar 21, 202201:09:26

#57 Forecasting French Elections, with… Mystery Guest

Mar 3, 202201:21:49

#56 Causal & Probabilistic Machine Learning, with Robert Osazuwa Ness

Feb 16, 202201:08:57

#55 Neuropsychology, Illusions & Bending Reality, with Dominique Makowski

Jan 31, 202201:13:38

#50 Ta(l)king Risks & Embracing Uncertainty, with David Spiegelhalter

Nov 6, 202101:04:28

#45 Biostats & Clinical Trial Design, with Frank Harrell

Aug 10, 202101:08:54

#42 How to Teach and Learn Bayesian Stats, with Mine Dogucu

Jun 24, 202101:06:00

#26 What you’ll learn & who you’ll meet at the PyMC Conference, with Ravin Kumar & Quan Nguyen

Oct 24, 202000:46:25

#23 Bayesian Stats in Business and Marketing Analytics, with Elea McDonnel Feit

Sep 10, 202000:59:06

#21 Gaussian Processes, Bayesian Neural Nets & SIR Models, with Elizaveta Semenova

Aug 13, 202001:02:12

#131 Decision-Making Under High Uncertainty, with Luke Bornn

Apr 30, 202501:31:46

#117 Unveiling the Power of Bayesian Experimental Design, with Desi Ivanova

Oct 15, 202401:13:12

#85 A Brief History of Sports Analytics, with Jim Albert

Jun 27, 202301:06:11

#78 Exploring MCMC Sampler Algorithms, with Matt D. Hoffman

Mar 1, 202301:02:41

#128 Building a Winning Data Team in Football, with Matt Penn

Mar 19, 202500:58:11