Interactive Learning and Interventional Representations

We rethink the principles of interactive models of learning, exploring the role of causal modelling in bridging the gap between observational and interventional learning. The ultimate goal is to understand the organizing principles underlying robust intelligent behaviour, and to enable reliable learning-based decision systems for high-stakes real-world applications.

'- Oberwolfach Workshop on “Overparametrization, Regularization, Identifiability and Uncertainty in Machine Learning”, 27-31 January 2025.
Jointly with the ELLIS program on Theory, Algorithms and Computations of Modern Learning Systems.
- Oberwolfach Workshop (restricted to members of the program and their collaborators), 26-28 February 2024.
- Workshop at Feldberg (restricted to members of the program and their collaborators), 5-6 October 2022.
- Virtual workshop (restricted to members of the program and their collaborators), 21 June 2021
- Virtual miniworkshop (restricted to members of the program and their collaborators), 17 December 2020
- Virtual workshop (restricted to members of the program and their collaborators), 5 March 2020

Theory, Algorithms and Computations of Modern Learning Systems

https://ellis.eu/news/ellis-program-workshop-on-overparametrization-regularization-identifiability-and-uncertainty-in-machine-learning

https://ellis.eu/news/interactive-learning-and-interventional-representations-ilir-program-workshop