Scholar

Oliver Richardson

Google Scholar ID: 5_yI4jIAAAAJ

University of Montreal / Mila

probabilistic modelsinformation theorycategorical semanticsknowledge representation

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Publications

1 items

2025

Cited

Resume (English only)

Academic Achievements

NeurIPS 2024 paper: 'Qualitative Mechanism Independence' (with Spencer Peters and Joseph Halpern)
PhD Dissertation: 'A Unified Theory of Probabilistic Modeling, Dependence, and Inconsistency' (Cornell University, 2024)
POPL 2024 LAFI Workshop paper: 'Mixture Languages' (with Jialu Bao)
ICML 2023 SPIGM & LLW Workshop paper: 'The Local Inconsistency Resolution Algorithm'
Developed the theory of Probabilistic Dependency Graphs (PDGs), unifying Bayesian Networks, Factor Graphs, causal models, and Dempster-Shafer belief functions
Showed that standard loss functions correspond to the inconsistency of appropriately constructed PDGs
Designed inference algorithms for PDGs and revealed a deep algorithmic equivalence between inference and inconsistency quantification

Co-authors

11 total