Recently we have seen exciting results at the intersection of quantum foundations and the statistical analysis of causal hypotheses by virtue of the centrality of latent variable models to both fields.
In this workshop we will explore how academics from both sides can move the shared frontiers forward. Towards that end, we are including extensive breakout collaboration opportunities in addition to formal presentations. In order to make concrete progress on problems pertinent to both communities, we have selected the topic of causal models with restricted cardinality of the latent variables as a special focus for this workshop.
Sponsorship for this workshop has been provided by:
-
Welcome and Opening Remarks
Elie Wolfe - Perimeter Institute for Theoretical Physics
-
Tutorial 1
Robert Spekkens - Perimeter Institute for Theoretical Physics
-
Graphical models: fundamentals, origins, and beyond
Steffen Lauritzen - University of Copenhagen
-
Towards standard imsets for maximal ancestral graphs
Robin Evans - University of Oxford
-
Tutorial 2
Ilya Shpitser - Johns Hopkins University
-
Correlations from joint measurements in boxworld and applications to information processing
Mirjam Weilenmann - Austrian Academy of Sciences
-
Observational Equivalences Between Causal Structures with Latent Variables
Marina Maciel Ansanelli - Perimeter Institute for Theoretical Physics
-
-
Communication Genuine Multipartite Nonlocality as a benchmark for large nonclassicality
Marc-Olivier Renou - Institute of Photonic Sciences
-
Separation of quantum, spatial quantum and approximate quantum correlations
Salman Beigi - Institute for Research in Fundamental Sciences (IPM)
-
Causal Scenarios: the Interesting, the Boring and the Elusive
Matthew Pusey - University of York
-
Causal Discovery via Common Entropy
Murat Kocaoglu - Purdue University