12 episodes

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 entrepreneur, independent researcher and a best-selling author, who decided to travel the world to record conversations with the most interesting minds in causality. Enjoy and stay causal!Keywords: Causal AI, Causal Machine Learning, Causality, Causal Inference, Causal Discovery, Machine Learning, AI, Artificial Intelligence

Causal Bandits Podcast Alex Molak

    • Technology
    • 5.0 • 4 Ratings

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 entrepreneur, independent researcher and a best-selling author, who decided to travel the world to record conversations with the most interesting minds in causality. Enjoy and stay causal!Keywords: Causal AI, Causal Machine Learning, Causality, Causal Inference, Causal Discovery, Machine Learning, AI, Artificial Intelligence

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

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

    Recorded on Sep 27, 2023 in München, Germany

    Video version available on YouTube

    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 observed events.

    Can large language models (LLMs) help in building an industrial causal graph?

    What inspires stakeholders to share their knowledge and which causal discovery algorithms have been most effective for Ishansh's supply chain use case?

    Hear the insights from one of the BMW Group's fastest-rising young data science talents.

    Ready? ------------------------------------------------------------------------------------------------------

    About The Guest
    Ishansh Gupta is a Lead Data Scientist at BMW Group. Previously, he worked for several companies, including a legendary German sports club SV Werder Bremen. He studied Computer Science, and co-founded an educational startup during his study years. He has supervised or supported students in various universities, including the Munich-based TUM and MIT.

    Connect with Ishansh:
    - Ishansh on Twitter/X
    - Ishansh on LinkedIn

    About The Host
    Aleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causality

    Connect with Alex:
    - Alex on the Internet

    Links
    Papers
    - Kıcıman et al. (2023) - Causal Reasoning and Large Language Models
    - Peters et al. (2014) - Causal Discovery with Continuous Additive Noise Models [RESIT algorithm]

    Books
    - Molak (2023) - Causal Inference and Discovery in Python
    - Pearl & Mackenzie (2019) - The Book of Why

    Other
    - causaLens

    Causal Bandits Team
    Project Coordinator: Taiba Malik
    Video and Audio Editin
    Causal Bandits Podcast
    Causal AI || Causal Machine Learning || Causal Inference & Discovery
    Web: https://causalbanditspodcast.com

    Connect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/
    Join Causal Python Weekly: https://causalpython.io
    The Causal Book: https://amzn.to/3QhsRz4

    • 58 min
    On Causal Inference in Fintech & Being an Author || Matheus Facure || Causal Bandits Ep. 009 (2024)

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

    Recorded on Oct 15, 2023 in São Paulo, Brazil.

    Video version of this episode is available on YouTube.

    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 politics, but switched to economics, where he fell in love with math.

    Observing the state of the industry, he quickly realized that without causality, we cannot answer some of the most interesting business questions.

    His popular online book 'Causal Inference for The Brave and True' was a side effect of his strong drive to learn causal inference and causal machine learning, while collecting as much feedback as possible along the way.

    Did he succeed?

    ------------------------------------------------------------------------------------------------------

    About The Guest
    Matheus Facure is a Staff Data Scientist at Nubank and the author of "Causal Inference for The Brave and True" and "Causal Inference in Python".

    Connect with Matheus:
    - Matheus on Twitter/X
    - Matheus on LinkedIn
    - Matheus's web page

    About The Host
    Aleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causality

    Connect with Alex:
    - Alex on the Internet

    Links
    Books
    - Facure (2023) – Causal Inference in Python
    - Molak (2023) – Causal Inference and Discovery in Python


    Webcasts
    - AMA Webcasts

    Causal Bandits Team
    Project Coordinator: Taiba Malik 
    Video and Audio Editing: Navneet Sharma, Aleksander Molak 

    #machinelearning #causalai #causalinference #causality #fintech
    Causal Bandits Podcast
    Causal AI || Causal Machine Learning || Causal Inference & Discovery
    Web: https://causalbanditspodcast.com

    Connect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/
    Join Causal Python Weekly: https://causalpython.io
    The Causal Book: https://amzn.to/3QhsRz4

    • 1 hr 7 min
    Causal ML, Transparency & Time-Varying Treatments || Iyar Lin || Causal Bandits Ep. 008 (2024)

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

     Recorded on Sep 13, 2023 in Beit El'Azari, Israel

    Video version available on YouTube

    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 for his search for methods that go beyond statistical summaries of the data.

    What started as a lonely journey, led him to become a data science lead at his current company, where he fosters causal culture daily.

    Iyar developed a framework that helps digital product companies make better decisions regarding their products at scale and at budget.

    Here, causality is not just a concept, but a tool for change.

    Ready to dive in?

    ------------------------------------------------------------------------------------------------------

    About The Guest
    Iyar Lin is a Data Science Lead at Loops, where he helps customers make better decisions leveraging causal inference and machine learning methods. He holds master's degree in statistics from The Hebrew University of Jerusalem. Before Loops, he worked at ViaSat and SimilarWeb.

    Connect with Iyar:
    - Iyar on LinkedIn
    - Iyar's web page

    About The Host
    Aleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causality (https://amzn.to/3QhsRz4).

    Connect with Alex:
    - Alex on the Internet

    Links
    Papers
    - Breiman (2001) - Statistical Modeling: The Two Cultures

    Books
    - Molak (2023) - Causal Inference and Discovery in Python
    - Pearl et al. (2016) - Causal Inference in Statistics - A Primer

    Causal Bandits Team
    Project Coordinator: Taiba Malik (Insta)
    Video and Audio Editing: Navneet Sharma, Aleksander Molak 

    #machinelearning #causalai #causalinference #causality 
    Causal Bandits Podcast
    Causal AI || Causal Machine Learning || Causal Inference & Discovery
    Web: https://causalbanditspodcast.com

    Connect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/
    Join Causal Python Weekly: https://causalpython.io
    The Causal Book: https://amzn.to/3QhsRz4

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

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

    Recorded on Sep 4, 2023 in London, UK.

    Video version available on YouTube

    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 how mosquitos, Pascal programming language, and problems with generalization in vision models inspired Darko to build a company that helps some of the world's top companies streamline and deploy causal inference workflows today.

    Learn how his hedge fund experience shaped his thinking about business.

    Causal Bandits Extra is a series of conversations with non-technically-focused people involved in or interested in causality from business, social and other perspectives.

    ------------------------------------------------------------------------------------------------------

    About The Guest
    Darko Matovski, PhD is the co-founder and CEO of causaLens, a $50M venture-backed scaleup. He holds a PhD in Computer Science and an MBA from the University of Southampton.

    Connect with Darko:
    - Darko Matovski on LinkedIn: https://www.linkedin.com/in/matovski/
    - causaLens web page

    About The Host
    Aleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causal machine learning.

    Connect with Alex:
    - Alex on the Internet

    Causal Bandits Team
    Project Coordinator: Taiba Malik (https://www.instagram.com/taibasplay/) Video and Audio Editing: Navneet Sharma, Aleksander Molak *Action* Connect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/ Join Causal Python Weekly: https://causalpython.io Causal Bandits: https://causalbanditspodcast.com The Causal Book: https://amzn.to/3QhsRz4 *Sponsorship Disclaimer* This episode has been made possible with the support of causaLens. We appreciate their contribution to making this content possible. While this episode is sponsored, rest assured that our views and discussions remain independent and genuine. Thank you for supporting the causal community. 

    #machinelearning #causalai #causalinference #causality #startup #business #entrepreneur
    Causal Bandits Podcast
    Causal AI || Causal Machine Learning || Causal Inference & Discovery
    Web: https://causalbanditspodcast.com

    Connect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/
    Join Causal Python Weekly: https://causalpython.io
    The Causal Book: https://amzn.to/3QhsRz4

    • 22 min
    Causal AI, Justin Bieber & Optimal Experiments || Jakob Zeitler || Causal Bandits Ep. 007 (2024)

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

    Recorded on Sep 5, 2023 in Oxford, UK.

    Video version of this episode is available here.

    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 knowledge, he started to look for the answers on his own.

    He studied philosophy, politics and economics to find his place at UCL's Centre for Artificial Intelligence, where he met his future PhD advisor, Prof. Ricardo Silva.

    At the center of Jakob's interests lies decision-making under partial knowledge.

    He's passionate about partial identification, sensitivity analysis, and optimal experiments, yet he's far from being just a theoretician.

    He implements causal ideas he finds promising in the context of material discovery at Matterhorn Studio, earlier he worked on sensitivity analysis for quasi-experimental methods at Spotify.

    Want to learn what a 1000-years-old church, communism and Justin Bieber have to do with causality?

    Tune in! ------------------------------------------------------------------------------------------------------

    About The Guest
    Jakob Zeitler is a researcher at Centre for Artificial Intelligence at University College London (UCL) and a Head of R&D at Matterhorn Studio. His research focuses on partial identification, sensitivity analysis and optimal experimentation. He works on solutions for automated material design.

    Connect with Jakob:
    - Jakob Zeitler on Twitter/X
    - Jakob Zeitler on LinkedIn
    - Jakob Zeitler's web page

    About The Host
    Aleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causality.

    Connect with Alex:
    - Alex on the Internet

    Links
    See the full list of links here.

    Causal Bandits Team
    Project Coordinator: Taiba Malik
    Video and Audio Editing: Navneet Sharma, Aleksander Molak
    Causal Bandits Podcast
    Causal AI || Causal Machine Learning || Causal Inference & Discovery
    Web: https://causalbanditspodcast.com

    Connect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/
    Join Causal Python Weekly: https://causalpython.io
    The Causal Book: https://amzn.to/3QhsRz4

    • 1 hr 8 min
    Causal AI, Effect Heterogeneity & Understanding ML || Alicia Curth || Causal Bandits Ep. 006 (2023)

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

    Recorded on Nov 29, 2023 in Cambridge, UK.

    Video version available on YouTube

    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 incorporated both in her everyday toolkit.

    She loves to understand why things work, which inspires her to ask "why" not only in the context of treatment effects, but also in the context of general machine learning. Her papers on heterogeneous treatment effect estimators and model evaluation bring unique perspectives to the community.

    Her recent NeurIPS paper on double descent aims at bridging the gap between statistical learning theory and a counter-intuitive phenomenon of double descent observed in complex machine learning architectures.

    Ready to dive in? ------------------------------------------------------------------------------------------------------ About The Guest
    Alicia Curth is a Machine Learning Researcher and a final year PhD student at The van der Schaar Lab at Cambridge University. Her research is focused on causality, understanding machine learning methods from ground up and personalized medicine. Her works are frequently accepted at best machine learning conferences (she's a true serial NeurIPS author).

    Connect with Alicia:
    - Alicia on Twitter/X
    - Alicia on LinkedIn
    - Alicia 's web page

    About The Host
    Aleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causality.

    Connect with Alex: - Alex on the Internet

    Links
    See here  for the full list of links

    Causal Bandits Team 
    Project Coordinator: Taiba Malik
    Video and Audio Editing: Navneet Sharma, Aleksander Molak 
    Causal Bandits Podcast
    Causal AI || Causal Machine Learning || Causal Inference & Discovery
    Web: https://causalbanditspodcast.com

    Connect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/
    Join Causal Python Weekly: https://causalpython.io
    The Causal Book: https://amzn.to/3QhsRz4

    • 54 min

Customer Reviews

5.0 out of 5
4 Ratings

4 Ratings

Showeropera ,

Thoughtful and expert discussions of causality

I appreciate the thoughtful discussions. You can tell that the speakers have true experience and expertise in causal modeling.

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