Najlepsze podcasty z kategorii: Causal (2024)

1
Causal Bandits @ CLeaR 2024 | Part 2 | CausalBanditsPodcast.com 22:05

22d ago22:05

22:05

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…

1
55: CrowdStrike 29:04

1M ago29:04

29:04

On Friday the 19th of July, 2024 millions of CrowdStrike Falcon Agents the world over would lead to a Windows system crash on business machines throwing parts of the world into chaos. We look into exactly what caused it and how complacency and a lack of understanding amplified the effect of this wholly preventable incident. With John Chidgey. About…

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

1M ago22:11

22:11

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…

1
Causal Bandits @ AAAI 2024 | Part 2 | CausalBanditsPodcast.com 22:38

2M ago22:38

22:38

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…

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

2M ago19:35

19:35

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…

1
Free Will, LLMs & Intelligence | Judea Pearl Ep 21 | CausalBanditsPodcast.com 54:07

3M ago54:07

54:07

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…

1
Causal AI & Individual Treatment Effects | Scott Mueller Ep. 20 | CausalBanditsPodcast.com 52:40

4M ago52:40

52:40

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 …

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

5M ago1:06:40

1:06:40

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…

1
54: Midland Resource Recovery 28:01

5M ago28:01

28:01

In 2017 during an Odoriser decontamination procedure in West Virginia, two people were killed when it unexpectedly exploded. Barely a month later, a similar procedure at the same site led to a second explosion, killing someone else. We examine how poor hazard analysis and legal interference led to yet another fatality...right in front of the eyes o…

1
Causal Inference for Drug Repurposing & CausalLib | Ehud Karavani Ep 18 | CausalBanditsPodcast.com 53:32

5M ago53:32

53:32

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…

1
From Physics to Causal AI & Back | Bernhard Schölkopf Ep 17 | CausalBanditsPodcast.com 34:20

6M ago34:20

34:20

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, …

1
Open Source Causal AI & The Generative Revolution | Emre Kıcıman Ep 16 | CausalBanditsPodcast.com 42:20

6M ago42:20

42:20

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…

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

7M ago1:05:29

1:05:29

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 …

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

7M ago1:04:09

1:04:09

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…

1
Causal Inference & Reinforcement Learning with Andrew Lampinen Ep 13 | CausalBanditsPodcast.com 55:24

8M ago55:24

55:24

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…

1
53: Callide C Blackout 50:52

8M ago50:52

50:52

In 2021 the Callide C Power Station experienced a unit failure that tore the turbine-generator apart, resulted in hundreds of thousands of premises losing power, and cost hundreds of millions to repair. We look at how design errors and ultimately a lack of information led to the incident escalating out of control, when it could have been recovered.…

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

8M ago1:18:05

1:18:05

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…

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

9M ago1:13:32

1:13:32

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,…

1
Causal AI & Supply Chain || Ishansh Gupta || Causal Bandits Ep. 010 (2024) 58:16

9M ago58:16

58:16

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…

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

10M ago1:07:54

1:07:54

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…

1
Causal ML, Transparency & Time-Varying Treatments || Iyar Lin || Causal Bandits Ep. 008 (2024) 56:01

10M ago56:01

56:01

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…

1
[Extra]: Mosquitos, Pascal & Hedge Funds || A Walk with Darko Matovski, PhD (causaLens) in London (2024) 22:38

10M ago22:38

22:38

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 …

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

11M ago1:08:36

1:08:36

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…

1
Causal AI, Effect Heterogeneity & Understanding ML || Alicia Curth || Causal Bandits Ep. 006 (2023) 54:39

11M ago54:39

54:39

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…

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

11M ago1:18:01

1:18:01

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…

1
52: Colonial Pipeline 26:12

12M ago26:12

26:12

In 2021 many of Colonial Pipelines IT systems were locked by malware and out of caution they shutdown the fuel pipelines feeding nearly half of the Eastern US leading to chaos at the gas pump and a state of emergency being declared. We look at how poor off-boarding hygiene led to an easily preventable cyber-attack. With John Chidgey. Hearing: Heari…

1
Autonomous Driving, Causality & Long Tails || Daniel Ebenhöch || Causal Bandits Ep. 004 (2023) 52:11

12M ago52:11

52:11

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 …

1
Causality, Marketing & Simulations || Juan Orduz || Causal Bandits Ep. 003 (2023) 53:54

1y ago53:54

53:54

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 …

1
Causality, Bayesian Modeling and PyMC || Thomas Wiecki || Causal Bandits Ep. 001 (2023) 58:16

1y ago58:16

58:16

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.…

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

1y ago1:24:22

1:24:22

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…

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

1y ago1:10:46

1:10:46

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…

1
51: I35 West 36:00

1y ago36:00

36:00

The I35W bridge over the Mississippi River carried 140,000 cars every day. Inspections in 1999 and 2003 showed damage to support plates that was dismissed as unimportant at the time. We look into how poor design checking and assumptions led to the bridge collapsing in 2007, costing the lives of 13 people. With John Chidgey. This show is Podcasting …

1
50: 737 MAX Ethiopian Air 52:07

1+ y ago52:07

52:07

Five months after Lion Air 610 crashed, another 737-MAX went down with a similar cause. However the official report was at odds with two other internationally respected investigative organisations. We dig into the detail of how the AOA Sensor was claimed to have failed, and review checklist discrepancies to extract fact from opinion as to what most…

1
49: Carmel Fireworks Explosion 29:04

2y ago29:04

29:04

A fireworks company in Western Australia that had been in business for nearly a century, were preparing for a fireworks display in their packing shed when one ignited and set off a fire and an explosion. Onlookers were shocked when there was a subsequent explosion that was so big it was heard 30 kilometers away leaving the facility in ruins. With J…

1
48: Instituto Goiano de Radioterapia 33:09

2y ago33:09

33:09

When a radiation therapy machine was left behind during a move between buildings in central Brazil, it set in motion a series of events that would lead to one of the worst radiological incidents in history. We look into how bureaucracy and misdiagnosis cost four people their lives and how the actions of a concerned mother with no medical experience…

1
47: Hyatt Regency Kansas City 41:31

2+ y ago41:31

41:31

The tallest building in Missouri with a large atrium perfect for big bands and dancing, hosted a regular Tea Dance in the summer of 1981. When two walkways collapsed killing over a hundred people, the investigators found multiple fundamental design errors. We look at how assumptions, redrafting conventions and negligence led to an incident that has…

1
46: Mindbender 29:29

2+ y ago29:29

29:29

The longest, tallest, fastest indoor rollercoaster in the world was only open six months when the last carriage of a train came loose, killing three people and all that the day following an inspection that the ride was safe to operate. We look at how a design choice made maintenance more critical and then how wishing for a ride to be safe, doesn't …

1
45: Granville 25:53

2+ y ago25:53

25:53

In 1977, a commuter train from the Blue Mountains, destined for Sydney central station would derail just before Granville Station, causing a bridge to collapse and crush many aboard. It remains Australia's worst ever rail disaster that was predicted by 11 engineering department heads just a year earlier. We look at how management decisions led to a…

1
44: Beirut Warehouse 12 31:55

3y ago31:55

31:55

In Beirut in August of 2020, an explosion at the Port of Beirut destroyed a huge part of the city. We look into how an oxidising agent, improperly handled can become an explosive and attempt to comprehend how something so dangerous was ignored repeatedly by key people, despite many warnings of an imminent disaster. With John Chidgey. This show is P…

Podcasty warte posłuchania

Causal Podcasty

Podcasty warte posłuchania

Skrócona instrukcja obsługi