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

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Content provided by Alex Molak. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alex Molak or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

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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

  continue reading

Capitole

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)

27 episoade

Artwork
iconDistribuie
 
Manage episode 439165882 series 3526805
Content provided by Alex Molak. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alex Molak or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

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

  continue reading

Capitole

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)

27 episoade

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