Deep Gaussian Processes on Directed Acyclic Graphs

By Federico L. Perlino · Paper · stat.ML

Many real-world processes can be represented as compositions of functions along a directed acyclic graph (DAG). In causal modelling, these correspond to the underlying mechanisms; in engineering, to multiple fidelity levels; and in gene-regulatory networks, to transcription facto

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