Oliver E. Richardson

2 accepted papers

2023

Inference for probabilistic dependency graphs

Oliver E. Richardson, Joseph Y. Halpern, Christopher De Sa

UAI 2023poster

Probabilistic dependency graphs (PDGs) are a flexible class of probabilistic graphical models, subsuming Bayesian Networks and Factor Graphs. They can also capture inconsistent beliefs, and provide a way of measuring the degree of this inconsistency. We present the first tractable inference algorith…

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2022

Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function

Oliver E. Richardson

AISTATS 2022poster

In a world blessed with a great diversity of loss functions, we argue that that choice between them is not a matter of taste or pragmatics, but of model. Probabilistic depencency graphs (PDGs) are probabilistic models that come equipped with a measure of "inconsistency". We prove that many standard…

Cited by 6 Source ↗PDF ↗Scholar ↗