Podcast thumbnail for Causal Bandits Podcast

Causal Bandits Podcast

Claim This Podcast

by Alex Molak

5.0(19 reviews)
38 episodes
Updated Bi-weekly
Accepts GuestsHas Sponsors
39

Podcast Authority

Beta
PoorBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality45
Social0
YouTube0
Engagement82

Podcast Overview

<p>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.&nbsp;<br><br>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.&nbsp;<br><br>Your host, Alex Molak is an a machine learning engineer, best-selling author, and an educator who decided to travel the world to record conversations with the most interesting minds in causality to share them with you.<br><br>Enjoy and stay causal!<br><br>Keywords: Causal AI, Causal Machine Learning, Causality, Causal Inference, Causal Discovery, Machine Learning, AI, Artificial Intelligence</p>

Language

🇺🇲

Publishing Since

11/6/2023

Unlock The Full Podcast Authority Score Report

See how your podcast performs across key metrics

39

Podcast Authority

Beta
PoorBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality45
Social0
YouTube0
Engagement82
5
Excellent Areas
2
Good Performance
12
Growth Opportunities
excellent
Episode Length
59 minutes
Performing excellently!
good
Show Notes Quality
3.0/5

Recommendations available

Unlock the full report to see detailed tips

needs improvement
Publishing Consistency
Every 17 days

Recommendations available

Unlock the full report to see detailed tips

+16 More Metrics

Unlock comprehensive insights including:

  • • YouTube presence analysis
  • • Social media reach metrics
  • • RSS compliance scoring
  • • Podcast 2.0 features
  • • Technical standards
What's Included in Your Full Report

Detailed Analytics

  • Complete breakdown of all 19 authority metrics
  • Personalized recommendations for each metric
  • Industry benchmarks and comparisons
  • Technical RSS feed analysis and compliance scoring

Growth Strategies

  • Step-by-step action plans for improvement
  • Quick wins to boost your score immediately
  • Pro tips from successful podcasters
Get your free podcast insights report

See how your show performs across every key metric

Instant delivery
No spam
Attract Better Guests

High authority scores make your podcast more attractive to industry leaders and influencers who want to appear on credible shows.

Secure Sponsorships

Sponsors look for podcasts with proven authority and engagement. Your score demonstrates your podcast's value to potential partners.

Grow Your Audience

Understanding your strengths and weaknesses helps you make data-driven decisions to expand your listener base effectively.

Reach the team behind Causal Bandits Podcast

Verified contact details for this show aren't on file yet — sign up to get notified when they land.

Recent Episodes

Episode thumbnail for Causality, Experimentation, and Marketplaces | Lawrence De Geest S2E10

April 1, 2026

Causality, Experimentation, and Marketplaces | Lawrence De Geest S2E10

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...

Episode thumbnail for Do Heterogeneous Treatment Effects Exist? | Stephen Senn X Richard Hahn S2E9 | CausalBanditsPodcast

January 30, 2026

Do Heterogeneous Treatment Effects Exist? | Stephen Senn X Richard Hahn S2E9 | CausalBanditsPodcast

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...

Episode thumbnail for Causal Inference & the "Bayesian-Frequentist War" | Richard Hahn S2E8 | CausalBanditsPodcast.com

December 27, 2025

Causal Inference & the "Bayesian-Frequentist War" | Richard Hahn S2E8 | CausalBanditsPodcast.com

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...

38 total episodes available with 3 transcripts

Recent guests on Causal Bandits Podcast

Guests from recent episodes — sign up to see every guest that has ever appeared on this show.

Julia Rohrer

Guest

Deep-dive analytics for Causal Bandits Podcast

Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is Causal Bandits Podcast?
<p>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.&nbsp;<br><br>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.&nbsp;<br><br>Your host, Alex Molak is an a machine learning engineer, best-selling author, and an educator who decided to travel the world to record conversations with the most interesting minds in causality to share them with you.<br><br>Enjoy and stay causal!<br><br>Keywords: Causal AI, Causal Machine Learning, Causality, Causal Inference, Causal Discovery, Machine Learning, AI, Artificial Intelligence</p>
How often does this podcast release new episodes?

This podcast updates bi-weekly.

Where can I listen to this podcast?

This podcast is available on 8 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

Legal Disclaimer

Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.

All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.

We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.

While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.

By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.