An analysis of an inexpensive memory test solution. - Ryan Pennucci; Ryan Jurasek; Wolfgang Hokenmaier; Lester Patrick; Jacob Bucci; Donald Labrecque; David Kinney (NATW, 2018)

Imprecise Bayesian Networks as Causal Models. - David Kinney (Inf., 2018)

Inductive explanation and Garber-Style solutions to the problem of old evidence. - David Kinney (Synth., 2019)

Causal Feature Learning for Utility-Maximizing Agents. - David Kinney; David S. Watson (PGM, 2020)

Noisy Deductive Reasoning: How Humans Construct Math, and How Math Constructs Universes. - David H. Wolpert; David Kinney (CoRR, 2020)

Virtual Demonstrator for Spatial Presentations. - Maxwell Omdal; David Kinney; Kiet Tran; Evan Suma Rosenberg (VR Workshops, 2021)

Blocking an Argument for Emergent Chance. - David Kinney (J. Philos. Log., 2021)

Evaluations of Causal Claims Reflect a Trade-Off Between Informativeness and Compression. - David Kinney; Tania Lombrozo (CogSci, 2022)

Tell Me Your (Cognitive) Budget, and I'll Tell You What You Value: Evidential Relationships Between Values, Data, and Generic Causal Claims about the Social World. - David Kinney; Tania Lombrozo (CogSci, 2023)

Causal Theories and Structural Data Representations for Improving Out-of-Distribution Classification. - Donald Martin Jr.; David Kinney (CoRR, 2023)

Aggregating Concepts of Fairness and Accuracy in Prediction Algorithms. - David Kinney (FAccT, 2025)

Towards Geo-Culturally Grounded LLM Generations. - Piyawat Lertvittayakumjorn; David Kinney; Vinodkumar Prabhakaran; Donald Martin Jr.; Sunipa Dev (CoRR, 2025)

Aggregating Concepts of Accuracy and Fairness in Prediction Algorithms. - David Kinney (CoRR, 2025)