Causal Bandits @ AAAI 2024 | Part 2 | CausalBanditsPodcast.com
09/23/24 • 22 min
*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 Bombay) - Continuous treatment effects
12:24 - 16:06 Golnoosh Farnadi (McGill University) - Causality & responsible AI
16:06 - 17:37 Markus Bläser (Saarland University) - Fast identification of causal parameters
17:37 - 22:37 Devendra Singh Dhami (TU/e) - The future of causal AI
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
*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 Bombay) - Continuous treatment effects
12:24 - 16:06 Golnoosh Farnadi (McGill University) - Causality & responsible AI
16:06 - 17:37 Markus Bläser (Saarland University) - Fast identification of causal parameters
17:37 - 22:37 Devendra Singh Dhami (TU/e) - The future of causal AI
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
Previous Episode
Causal Bandits @ AAAI 2024 | Part 1 | CausalBanditsPodcast.com
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
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
Next Episode
Causal Bandits @ CLeaR 2024 | Part 1 | CausalBanditsPodcast.com
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 - 02:40 Kevin Debeire
2:41 - 06:37 Yuchen Zhu
06:37 - 10:09 Konstantin Göbler
10:09 - 17:05 Urja Pawar
17:05 - 23:16 William Orchard
Enjoy!
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
Causal Bandits Podcast - Causal Bandits @ AAAI 2024 | Part 2 | CausalBanditsPodcast.com
Transcript
Causal Bandits at AAAI 2024 | Part 2 | CausalBanditsPodcast.com
Alex: Causality, large language models, explainability, generalization, and fairness. This is Causal Bandits Extra at AAAI 2024, part two. Enjoy.
Kevin Xia: Hi, my name is Kevin Xia. I'm a fifth year PhD student working with Professor Elise Barenboim in the Causal AI Lab at Columbia University. And here I, I'm discussing my, my colleague's work, Transportable Representations for Doma
If you like this episode you’ll love
Episode Comments
Generate a badge
Get a badge for your website that links back to this episode
<a href="https://goodpods.com/podcasts/causal-bandits-podcast-287946/causal-bandits-aaai-2024-part-2-causalbanditspodcastcom-74415718"> <img src="https://storage.googleapis.com/goodpods-images-bucket/badges/generic-badge-1.svg" alt="listen to causal bandits @ aaai 2024 | part 2 | causalbanditspodcast.com on goodpods" style="width: 225px" /> </a>
Copy