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math.ST2024
Products, Abstractions and Inclusions of Causal Spaces
Simon Buchholz, Junhyung Park, Bernhard Schölkopf
Causal spaces have recently been introduced as a measure-theoretic framework to encode the notion of causality. While it has some advantages over established frameworks, such as st…
cs.LG2024★ 2 cited
Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models
Goutham Rajendran, Simon Buchholz, Bryon Aragam +2
To build intelligent machine learning systems, there are two broad approaches. One approach is to build inherently interpretable models, as endeavored by the growing field of causa…