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Toward a Taxonomy of Trust for Probabilistic Machine Learning
Probabilistic machine learning increasingly informs critical decisions in medicine, economics, politics, and beyond.
Network Hawkes Process Models for Exploring Latent Hierarchy in Social Animal Interactions
We compare all models using simulated and real data.
Applications Methodology
The Geometry of Continuous Latent Space Models for Network Data
In this way, these models provide a probabilistic framework for embedding network nodes in a continuous space equipped with a geometry that facilitates the description of dependence between random dyadic ties.
Methodology Social and Information Networks
