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PODCAST

Causal Bandits Podcast

Causal Bandits Podcast with Alex Molak is here to help you learn about causality, causal AI and causal machine learning through the genius of others.The podcast focuses on causality from a number of different perspectives, finding common grounds between academia and industry, philosophy, theory and practice, and between different schools of thought, and traditions.Your host, Alex Molak is an a machine learning engineer, best-selling author, and an educator who decided to travel the world to record

technology

All Episodes

65:00

Causality, Experimentation, and Marketplaces |...

Causal Bandits Podcast ·

2026/04/01

Send us Fan Mail Causality, Experimentation, and Marketplaces Meet Lawrence de Geest (Zoox, ex-Lyft, ex-NBA), a former soccer player and an ex-NBA data scientist, who fell in love with marketplaces, despite the fact he hated math. In the episode we ponder how to deal with causality when our interventions change the dynamics of the environment we intervene upon, what to do with SUTVA violations, and how to design efficient quasi-experiments. - Why simple A/B tests fail at marketplaces - How...

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67:30

Do Heterogeneous Treatment Effects Exist? | Stephen...

Causal Bandits Podcast ·

2026/01/30

Send us a text Do Heterogeneous Treatment Effects Exist? For the last 50 years, we've designed cars to be safe... For the 50th-percentile male. Well, that's actually not 100% correct. According to Stanford's report, we introduced "female" crash test dummies in the 1960s, but... They were just scaled-down versions of male dummies and... Represented the 5th percentile of females in terms of body size and mass (aka the smallest 5% of women in the general population). These dummies also di...

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84:18

Causal Inference & the "Bayesian-Frequentist War" |...

Causal Bandits Podcast ·

2025/12/27

Send us a text *What can we learn about causal inference from the “war” between Bayesians and frequentists?* What can we learn about causal inference from the “war” between Bayesians and frequentists? In the episode, we cover: - What can we learn from the “war” between Bayesians and frequentists? - Why do Bayesian Additive Regression Trees (BART) “just work”? - Do heterogeneous treatment effects exist? - Is RCT generalization a heterogeneity problem? In the episode, we accidentally coined...

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63:17

The Causal Gap: Truly Responsible AI Needs to...

Causal Bandits Podcast ·

2025/10/30

Send us a text The Causal Gap: Truly Responsible AI Needs to Understand the Consequences Why do LLMs systematically drive themselves to extinction, and what does it have to do with evolution, moral reasoning, and causality? In this brand-new episode of Causal Bandits, we meet Zhijing Jin (Max Planck Institute for Intelligent Systems, University of Toronto) to answer these questions and look into the future of automated causal reasoning. In this episode, we discuss: - Zhijing's new work on...

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89:40

Create Your Causal Inference Roadmap. Causal...

Causal Bandits Podcast ·

2025/09/22

Send us a text Create Your Causal Inference Roadmap. Causal Inference, TMLE & Sensitivity If you're into causal inference and machine learning you probably heard about double machine learning (DML). DML is one of the most popular frameworks leveraging machine learning algorithms for causal inference, while offering good statistical properties. Yet... There's another framework that also leverages machine learning for causal inference that was created years earlier. Welcome to the worl...

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82:27

Causal Inference, Human Behavior, Science Crisis &...

Causal Bandits Podcast ·

2025/06/04

Send us a text *Causal Inference From Human Behavior, Reproducibility Crisis & The Power of Causal Graphs* Is Jonathan Heidt right that social media causes the mental health crisis in young people? If so, how can we be sure? Can other disciplines learn something from the reproducibility crisis in Psychology, and what is multiverse analysis? Join us for a conversation on causal inference from human behavior, the reproducibility crisis in sciences, and the power of causal graphs! -----...

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70:56

MSFT Scientist: Agents, Causal AI & Future of DoWhy |...

Causal Bandits Podcast ·

2025/04/14

Send us a text *Agents, Causal AI & The Future of DoWhy* The idea of agentic systems taking over more complex human tasks is compelling. New "production-grade" frameworks to build agentic systems pop up, suggesting that we're close to achieving full automation of these challenging multi-step tasks. But is the underlying agentic technology itself ready for production? And if not, can LLM-based systems help us making better decisions? Recent new developments in the DoWhy/PyWhy ecosyste...

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61:14

Causal Secrets of N=1 Experiments | Eric Daza S2E3 |...

Causal Bandits Podcast ·

2025/03/31

Send us a text 📽️ FREE Online Course on Causality 📕 Causal Inference & Discovery in Python Causal Secrets of N=1 Experiments Join me for a one of a kind conversation on the opportunities and challenges of n-of-1 trials, Eric's causal journey, his path into statistics, his love of sci-fi, and how single-subject experiments could reshape personalized medicine. Video version available here About The Guest Dr. Eric J. Daza is a biostatistician and health data scientist with o...

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52:10

From Quantum Physics to Causal AI at Spotify | Ciarán...

Causal Bandits Podcast ·

2025/01/29

Send us a textFrom Quantum Causal Models to Causal AI at SpotifyCiarÃ¡n loved Lego.Fascinated by the endless possibilities offered by the blocks, he once asked his parents what he could do as an adult to keep building with them.The answer: engineering.As he delved deeper into engineering, CiarÃ¡n noticed that its rules relied on a deeper structure. This realization inspired him to pursue quantum physics, which eventually brought him face-to-face with fundamental questions about causality.Toda...

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28:35

49% Less Loss with Causal ML | Stefan Feuerriegel...

Causal Bandits Podcast ·

2025/01/17

Send us a textStefan Feuerriegel is the Head of the Institute of AI in Management at LMU.His team consistently publishes work on causal machine learning at top AI conferences, including NeurIPS, ICML, and more.At the same time, they help businesses implement causal methods in practice.They worked on projects with companies like ABB Hitachi, and Booking.com.Stefan believes his team thrives because of its diversity and aims to bring more causal machine learning to medicine.I had a great convers...

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20:01

Causal AI at cAI 2024 London | CausalBanditsPodcast.com

Causal Bandits Podcast ·

2024/12/09

Send us a textCausal Bandits at cAI 2024 (The Royal Society, London)The cAI Conference in London slammed the door on baseless claims that causality cannot be used in industrial practice.In the episode of Causal Bandits Extra we interview participants and speakers at Causal AI Conference London, who share their main insights from the event, and the challenges they face in applying causal methods in their everyday work.Time codes:00:29 - Eyal Kazin (Zimmer Biomet)01:44 - Athanasios Vlontzos (Sp...

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22:05

Causal Bandits @ CLeaR 2024 | Part 2 |...

Causal Bandits Podcast ·

2024/10/28

Send us a textWhich models work best for causal discovery and double machine learning?In this extra episode, we present 4 more conversations with the researchers presenting their work at the CLeaR 2024 conference in Los Angeles, California.What you'll learn:- Which causal discovery models perform best with their default hyperparameters?- How to tune your double machine learning model?- Does putting your paper on ArXiv early increase its chances of being accepted at a conference?- How to deal ...

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22:11

Causal Bandits @ CLeaR 2024 | Part 1 |...

Causal Bandits Podcast ·

2024/10/07

Send us a textRoot cause analysis, model explanations, causal discovery.Are we facing a missing benchmark problem?Or not anymore?In this special episode, we travel to Los Angeles to talk with researchers at the forefront of causal research, exploring their projects, key insights, and the challenges they face in their work.Time codes:0:15 - 02:40 Kevin Debeire2:41 - 06:37 Yuchen Zhu06:37 - 10:09 Konstantin Göbler10:09 - 17:05 Urja Pawar17:05 - 23:16 ...

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22:38

Causal Bandits at AAAI 2024 | Part 2 |...

Causal Bandits Podcast ·

2024/09/23

Send us a text *Causal Bandits at AAAI 2024 || Part 2*In this special episode we interview researchers who presented their work at AAAI 2024 in Vancouver, Canada.Time codes: 00:12 - 04:18 Kevin Xia (Columbia University) - Transportability4:19 - 9:53 Patrick Altmeyer (Delft) - Explainability & black-box models9:54 - 12:24 Lokesh Nagalapatti (IIT Bombay) - Continuous treatment effects12:24 - 16:06 Golnoosh Farnadi (McGill University) - Causality & responsible AI16:06 - 17:37 M...

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19:35

Causal Bandits at AAAI 2024 | Part 1 |...

Causal Bandits Podcast ·

2024/09/10

Send us a text Causal Bandits at AAAI 2024 || Part 1In this special episode we interview researchers who presented their work at AAAI 2024 in Vancouver, Canada and participants of our workshop on causality and large language models (LLMs)Time codes:00:00 Intro00:20 Osman Ali Mian (CISPA) - Adaptive causal discovery for time series04:35 Emily McMilin (Independent/Meta) - LLMs, causality & selection bias07:36 Scott Mueller (UCLA) - Causality for EV incentives12:41 Andrew Lampinen (Goog...

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54:56

Free Will, LLMs & Intelligence | Judea Pearl Ep 21 |...

Causal Bandits Podcast ·

2024/08/12

Send us a Text Message.Meet The Godfather of Modern Causal InferenceHis work has pretty literally changed the course of my life and I am honored and incredibly grateful we could meet for this great conversation in his home in Los AngelesTo anybody who knows something about modern causal inference, he needs no introduction.He loves history, philosophy and music, and I believe it's fair to say that he's the godfather of modern causality.Ladies & gentlemen, please welcome, professor Judea Pe...

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54:05

Causal AI & Individual Treatment Effects | Scott...

Causal Bandits Podcast ·

2024/07/22

Send us a Text Message.Can we say something about YOUR personal treatment effect?The estimation of individual treatment effects is the Holy Grail of personalized medicine.It's also extremely difficult.Yet, Scott is not discouraged from studying this topic.In fact, he quit a pretty successful business to study it.In a series of papers, Scott describes how combining experimental and observational data can help us understand individual causal effects.Although this sounds enigmatic to many, the i...

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67:29

Causal AI in Personalization | Dima Goldenberg Ep 19...

Causal Bandits Podcast ·

2024/07/01

Send us a Text Message.Video version of this episode is available here Causal personalization?Dima did not love computers enough to forget about his passion for understanding people.His work at Booking.com focuses on recommender systems and personalization, and their intersection with AB testing, constrained optimization and causal inference.Dima's passion for building things started early in his childhood and continues up to this day, but recent events in his life also bring new opportunitie...

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53:32

Causal Inference for Drug Repurposing & CausalLib |...

Causal Bandits Podcast ·

2024/06/17

Send us a Text Message.Was Deep Learning Revolution Bad For Causal Inference?Did deep learning revolution slowed down the progress in causal research?Can causality help in finding drug repurposing candidates?What are the main challenges in using causal inference at scale?Ehud Karavani, the author of the CausalLib Python library and Researcher at IBM Research shares his experiences and thoughts on these challenging questions.Ehud believes in the power of good code, but for him code is not only...

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34:20

From Physics to Causal AI & Back | Bernhard Schölkopf...

Causal Bandits Podcast ·

2024/06/03

Send us a Text Message. Causal AI: The Melting Pot. Can Physics, Math & Biology Help Us?What is the relationship between physics and causal models?What can science of non-human animal behavior teach causal AI researchers?Bernhard Schölkopf's rich background and experience allow him to combine perspectives from computation, physics, mathematics, biology, theory of evolution, psychology and ethology to build a deep understanding of underlying principles that govern complex systems and ...

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38 results

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