Best Alex Molak Podcasts (2025)

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The Causal Gap: Truly Responsible AI Needs to Understand the Consequences | Zhijing Jin S2E7 1:03:17

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22d ago1:03:17

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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 …

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Create Your Causal Inference Roadmap. Causal Inference, TMLE & Sensitivity | Mark van der Laan S2E6 | CausalBanditsPodcast.com 1:29:40

2M ago1:29:40

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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.…

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Causal Inference, Human Behavior, Science Crisis & The Power of Causal Graphs | Julia Rohrer S2E5 | CausalBanditsPodcast.com 1:21:54

6M ago1:21:54

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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…

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MSFT Scientist: Agents, Causal AI & Future of DoWhy | Amit Sharma S2E4 | CausalBanditsPodcast.com 1:10:10

7M ago1:10:10

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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 re…

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Causal Secrets of N=1 Experiments | Eric Daza S2E3 | CausalBanditsPodcast.com 1:01:14

8M ago1:01:14

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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…

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From Quantum Physics to Causal AI at Spotify | Ciarán Gilligan-Lee S2E2 | CausalBanditsPodcast.com 52:10

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Send us a text From Quantum Causal Models to Causal AI at Spotify Ciarán 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, Ciarán noticed that its rules relied on a deeper structu…

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49% Less Loss with Causal ML | Stefan Feuerriegel S2E1 | CausalBanditsPodcast.com 28:35

10M ago28:35

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Send us a text Stefan 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…

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Causal AI at cAI 2024 London | CausalBanditsPodcast.com 20:01

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Send us a text Causal 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 t…

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Causal Bandits @ CLeaR 2024 | Part 2 | CausalBanditsPodcast.com 22:05

1y ago22:05

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Send us a text Which 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 t…

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Causal Bandits @ CLeaR 2024 | Part 1 | CausalBanditsPodcast.com 22:11

1y ago22:11

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Send us a text Root 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…

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Causal Bandits @ AAAI 2024 | Part 2 | CausalBanditsPodcast.com 22:38

1y ago22:38

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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) - Transportability 4:19 - 9:53 Patrick Altmeyer (Delft) - Explainability & black-box models 9:54 - 12:24 Lokesh Nagalapatti (IIT…

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Causal Bandits @ AAAI 2024 | Part 1 | CausalBanditsPodcast.com 19:35

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Send us a text Causal Bandits at AAAI 2024 || Part 1 In 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 Intro 00:20 Osman Ali Mian (CISPA) - Adaptive causal discovery for time series 04:35 Emily M…

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Free Will, LLMs & Intelligence | Judea Pearl Ep 21 | CausalBanditsPodcast.com 54:07

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Send us a text Meet The Godfather of Modern Causal Inference His 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 Angeles To anybody who knows something about modern causal inference, he needs no introduction. He loves history, philosophy an…

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Causal AI & Individual Treatment Effects | Scott Mueller Ep. 20 | CausalBanditsPodcast.com 52:40

1+ y ago52:40

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Send us a text 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 …

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Causal AI in Personalization | Dima Goldenberg Ep 19 | CausalBanditsPodcast.com 1:06:40

1+ y ago1:06:40

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Send us a text 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 pass…

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Causal Inference for Drug Repurposing & CausalLib | Ehud Karavani Ep 18 | CausalBanditsPodcast.com 53:32

1+ y ago53:32

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Send us a text 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 Re…

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From Physics to Causal AI & Back | Bernhard Schölkopf Ep 17 | CausalBanditsPodcast.com 34:20

1+ y ago34:20

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Send us a text 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, …

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Open Source Causal AI & The Generative Revolution | Emre Kıcıman Ep 16 | CausalBanditsPodcast.com 42:20

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Send us a text What makes two tech giants collaborate on an open source causal AI package? Emre's adventure with causal inference and causal AI has started before it was trendy. He's one of the original core developers of DoWhy - one of the most popular and powerful Python libraries for causal inference - and a researcher focused on the intersectio…

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Why Hinton Was Wrong, Causal AI & Science | Thanos Vlontzos Ep 15 | CausalBanditsPodcast.com 1:05:29

1+ y ago1:05:29

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Send us a text Recorded on Jan 17, 2024 in London, UK. Video version available here What makes so many predictions about the future of AI wrong? And what's possible with the current paradigm? From medical imaging to song recommendations, the association-based paradigm of learning can be helpful, but is not sufficient to answer our most interesting …

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Causal Inference & Financial Modeling with Alexander Denev Ep 14 | CausalBanditsPodcast.com 1:04:09

1+ y ago1:04:09

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Send us a text Video version available here Are markets efficient, and if not, can causal models help us leverage the inefficiencies? Do we really need to understand what we're modeling? What's the role of symmetry in modeling financial markets? What are the main challenges in applying causal models in finance? Ready to dive in? About The Guest Ale…

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Causal Inference & Reinforcement Learning with Andrew Lampinen Ep 13 | CausalBanditsPodcast.com 55:24

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Send us a text Love Causal Bandits Podcast? Help us bring more quality content: Support the show Video version of this episode is available here Causal Inference with LLMs and Reinforcement Learning Agents? Do LLMs have a world model? Can they reason causally? What's the connection between LLMs, reinforcement learning, and causality? Andrew Lampine…

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Causal Inference, Clinical Trials & Randomization || Stephen Senn || Causal Bandits Ep. 012 (2024) 1:18:05

1+ y ago1:18:05

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Send us a text Support the show Video version available on YouTube Do We Need Probability? Causal inference lies at the very heart of the scientific method. Randomized controlled trials (RCTs; also known as randomized experiemnts or A/B tests) are often called "the golden standard for causal inference". It's a less known fact that randomized trials…

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Causal Models, Biology, Generative AI & RL || Robert Ness || Causal Bandits Ep. 011 (2024) 1:13:32

1+ y ago1:13:32

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Send us a text Support the show Video version available on YouTube Recorded on Nov 12, 2023 in Undisclosed location, Undisclosed location From Systems Biology to Causality Robert always loved statistics. He went to study systems biology, driven by his desire to model natural systems. His perspective on causal inference encompasses graphical models,…

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Causal AI & Supply Chain || Ishansh Gupta || Causal Bandits Ep. 010 (2024) 58:16

2y ago58:16

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Send us a text Support the show Video version available on YouTube Recorded on Sep 27, 2023 in München, Germany From supply chain to large language models and back Ishansh realized the potential of data when he was just 10 years old, during his time as a junior cricket player. His journey led him to ask questions about the mechanisms behind the obs…

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On Causal Inference in Fintech & Being an Author || Matheus Facure || Causal Bandits Ep. 009 (2024) 1:07:54

2y ago1:07:54

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Send us a text Support the show Video version of this episode is available on YouTube Recorded on Oct 15, 2023 in São Paulo, Brazil Causal Inference in Fintech? For Brave and True Only From rural Brazil to one of the country’s largest banks, Matheus’ journey could inspire many. Similarly to our previous guest, Iyar Lin, Matheus was interested in po…

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Causal ML, Transparency & Time-Varying Treatments || Iyar Lin || Causal Bandits Ep. 008 (2024) 56:01

2y ago56:01

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Send us a text Support the show Video version available on YouTube Recorded on Sep 13, 2023 in Beit El'Azari, Israel The eternal dance between the data and the model Early in his career, Iyar realized that purely associative models cannot provide him with the answers to the questions he found most interesting. This realization laid the groundwork f…

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[Extra]: Mosquitos, Pascal & Hedge Funds || A Walk with Darko Matovski, PhD (causaLens) in London (2024) 22:38

2y ago22:38

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Send us a text Support the show Video version available on YouTube Recorded on Sep 4, 2023 in London, UK A causal bet Darko's story begins in Eastern Europe, where his early attempts in building a business and the influence of early-stage role models shaped his attitudes and helped him move through challenging and lonely moments in his career. See …

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Causal AI, Justin Bieber & Optimal Experiments || Jakob Zeitler || Causal Bandits Ep. 007 (2024) 1:08:36

2y ago1:08:36

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Send us a text Support the show Video version of this episode is available here Recorded on Sep 5, 2023 in Oxford, UK Have you ever wondered if we can answer seemingly unanswerable questions? Jakob's journey into causality started when he was 12 years old. Deeply dissatisfied with what adults had to offer when asked about the sources of causal know…

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Causal AI, Effect Heterogeneity & Understanding ML || Alicia Curth || Causal Bandits Ep. 006 (2023) 54:39

2y ago54:39

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Send us a text Support the show Video version available on YouTube Recorded on Nov 29, 2023 in Cambridge, UK Should we continue to ask why? Alicia's machine learning journey began with... causal machine learning. Starting with econometrics, she discovered semi-parametric methods and the Pearlian framework at later stages of her career and incorpora…

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Causal AI & Dynamical Systems || Naftali Weinberger || Causal Bandits Ep. 005 (2023) 1:18:01

2y ago1:18:01

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Send us a text Support the show Video version available on YouTube Recorded on Aug 29, 2023 in München, Germany Can we meaningfully talk about causality in dynamical systems? Some people are puzzled when it comes to dynamical systems and the idea of causation. Dynamical systems well-known in physics, social sciences, and biology are often thought o…

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Autonomous Driving, Causality & Long Tails || Daniel Ebenhöch || Causal Bandits Ep. 004 (2023) 52:11

2y ago52:11

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Send us a text Support the show Video version available on YouTube Recorded on Aug 27, 2023 in München, Germany Is Causality Necessary For Autonomous Driving? From a child experimenter to a lead engineer working on a general causal inference engine, Daniel's choices have been marked by intense curiosity and the courage to take risks. Daniel shares …

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Causality, Marketing & Simulations || Juan Orduz || Causal Bandits Ep. 003 (2023) 53:53

2y ago53:53

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Send us a text Support the show Video version available on YouTube Recorded on Aug 25, 2023 in Berlin, Germany Is Marketing Intrinsically Causal? After spending 5 years talking to mathematicians, Juan decided to look for new opportunities that would offer him more immediate impact on the world. Little did he know that this journey will lead him to …

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Causal AI, Modularity & Learning || Andrew Lawrence || Causal Bandits Ep. 002 (2023) 1:24:22

2y ago1:24:22

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Send us a text Support the show `from causality import solution` Recorded on Sep 04, 2023 in London, United Kingdom A Python package that would allow us to address an arbitrary causal problem with a one-liner does not yet exist. Fortunately, there are other ways to implement and deploy causal solutions at scale. In this episode, Andrew shares his j…

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Causality, Bayesian Modeling and PyMC || Thomas Wiecki || Causal Bandits Ep. 001 (2023) 58:16

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Send us a text Support the show Video version of this episode is available on YouTube Recorded on Aug 24, 2023 in Berlin, Germany Does Causality Align with Bayesian Modeling? Structural causal models share a conceptual similarity with the models used in probabilistic programming. However, there are important theoretical differences between the two.…

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Causality, LLMs & Abstractions || Matej Zečević || Causal Bandits Ep. 000 (2023) 1:10:46

2y ago1:10:46

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Send us a text Support the show Video version of this episode available on YouTube Recorded on Aug 14, 2023 in Frankfurt, Germany Are Large Language Models (LLMs) causal? Some researchers have shown that advanced models like GPT-4 can perform very well on certain causal benchmarks. At the same time, from the theoretical point of view it's highly un…