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49% Less Loss with Causal ML | Stefan Feuerriegel S2E1 | CausalBanditsPodcast.com
Manage episode 461657594 series 3526805
Stefan Feuerriegel is the Head of the Institute of AI in Management at LMU.
His team consistently publishes work on causal machine learning at top AI conferences, including NeurIPS, ICML, and more.
At the same time, they help businesses implement causal methods in practice.
They worked on projects with companies like ABB Hitachi, and Booking.com.
Stefan believes his team thrives because of its diversity and aims to bring more causal machine learning to medicine.
I had a great conversation with him, and I hope you'll enjoy it too!
>> Guest info:
Stefan Feuerriegel is a professor and the Head of the Institute of AI in Management at LMU. Previously, he worked as a consultant at McKinsey & Co. and ran his own AI startup.
>> Episode Links:
Papers
- Feuerriegel, S. et al. (2024) - Causal machine learning for predicting treatment outcomes (https://www.nature.com/articles/s41591-024-02902-1)
- Kuzmanivic, M. et al. (2024) - Causal Machine Learning for Cost-Effective Allocation of Development Aid (https://arxiv.org/abs/2401.16986)
- Schröder, M. et al. (2024) - Conformal Prediction for Causal Effects of Continuous Treatments (https://arxiv.org/abs/2407.03094)
>> WWW: https://www.som.lmu.de/ai/
>> LinkedIn: https://www.linkedin.com/in/stefan-feuerriegel/
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
30 епізодів
Manage episode 461657594 series 3526805
Stefan Feuerriegel is the Head of the Institute of AI in Management at LMU.
His team consistently publishes work on causal machine learning at top AI conferences, including NeurIPS, ICML, and more.
At the same time, they help businesses implement causal methods in practice.
They worked on projects with companies like ABB Hitachi, and Booking.com.
Stefan believes his team thrives because of its diversity and aims to bring more causal machine learning to medicine.
I had a great conversation with him, and I hope you'll enjoy it too!
>> Guest info:
Stefan Feuerriegel is a professor and the Head of the Institute of AI in Management at LMU. Previously, he worked as a consultant at McKinsey & Co. and ran his own AI startup.
>> Episode Links:
Papers
- Feuerriegel, S. et al. (2024) - Causal machine learning for predicting treatment outcomes (https://www.nature.com/articles/s41591-024-02902-1)
- Kuzmanivic, M. et al. (2024) - Causal Machine Learning for Cost-Effective Allocation of Development Aid (https://arxiv.org/abs/2401.16986)
- Schröder, M. et al. (2024) - Conformal Prediction for Causal Effects of Continuous Treatments (https://arxiv.org/abs/2407.03094)
>> WWW: https://www.som.lmu.de/ai/
>> LinkedIn: https://www.linkedin.com/in/stefan-feuerriegel/
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
30 епізодів
All episodes
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