Probabilistic Dependency Graphs. - Oliver Richardson; Joseph Y. Halpern (AAAI, 2021)

Loss as the Inconsistency of a Probabilistic Dependency Graph: Choose Your Model, Not Your Loss Function. - Oliver E. Richardson (AISTATS, 2022)

Inference for probabilistic dependency graphs. - Oliver E. Richardson; Joseph Y. Halpern; Christopher De Sa (UAI, 2023)

Qualitative Mechanism Independence. - Oliver Richardson; Spencer J. Peters; Joseph Y. Halpern (NeurIPS, 2024)

Learning with Confidence. - Oliver E. Richardson (UAI, 2025)

Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path? - Yoshua Bengio; Michael K. Cohen; Damiano Fornasiere; Joumana Ghosn; Pietro Greiner; Matt MacDermott; Sören Mindermann; Adam Oberman; Jesse Richardson; Oliver Richardson; Marc-Antoine Rondeau; Pierre-Luc St-Charles; et al. (CoRR, 2025)

Search-Based Correction of Reasoning Chains for Language Models. - Minsu Kim 004; Jean-Pierre R. Falet; Oliver E. Richardson; Xiaoyin Chen; Moksh Jain; Sungjin Ahn; Sungsoo Ahn; Yoshua Bengio (CoRR, 2025)