Mettez-vous hors ligne avec l'application Player FM !
Causal Bandits @ AAAI 2024 | Part 1 | CausalBanditsPodcast.com
Manage episode 439165882 series 3526805
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
Chapitres
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)
28 episodes
Manage episode 439165882 series 3526805
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
Chapitres
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)
28 episodes
Tous les épisodes
×Bienvenue sur Lecteur FM!
Lecteur FM recherche sur Internet des podcasts de haute qualité que vous pourrez apprécier dès maintenant. C'est la meilleure application de podcast et fonctionne sur Android, iPhone et le Web. Inscrivez-vous pour synchroniser les abonnements sur tous les appareils.