1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.DS2023
Inference for Probabilistic Dependency Graphs
Oliver E. Richardson, Joseph Y. Halpern, Christopher De Sa
Probabilistic dependency graphs (PDGs) are a flexible class of probabilistic graphical models, subsuming Bayesian Networks and Factor Graphs. They can also capture inconsistent bel…
cs.LG2022★ 1 cited
Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function
Oliver E Richardson
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 g…
cs.AI2020
Probabilistic Dependency Graphs
Oliver Richardson, Joseph Y Halpern
We introduce Probabilistic Dependency Graphs (PDGs), a new class of directed graphical models. PDGs can capture inconsistent beliefs in a natural way and are more modular than Baye…