Causal Bandits @ AAAI 2024 | Part 1 | CausalBanditsPodcast.com

Causal Bandits Podcast

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 McMilin (Independent/Meta) - LLMs, causality & selection bias
07:36 Scott Mueller (UCLA) - Causality for EV incentives
12:41 Andrew Lampinen (Google DeepMind) - Causality from passive data
15:16 Ali Edalati (Huawei) - About Causal Parrots workshop
15:26 Adbelrahman Zayed (MILA) - About Causal Parrots workshop

Support the show

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

Chapter

1. Intro (00:00:00)

2. Osman Ali Mian (CISPA) - Adaptive causal discovery for time series (00:00:20)

3. Emily McMilin (Independent/Meta) - LLMs, causality & selection bias (00:04:35)

4. Scott Mueller (UCLA) - Causality & EV incentives (00:07:36)

5. Andrew Lampinen (Google DeepMind) - Causality from passive data (00:12:41)

6. Ali Edalati (Huawei) - About Causal Parrots workshop (00:15:16)

7. Adbelrahman Zayed (MILA) - About Causal Parrots workshop (00:15:26)