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David Kinney
David Kinney
Lecturer, Yale University
Verifisert e-postadresse på yale.edu - Startside
Tittel
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On the explanatory depth and pragmatic value of coarse-grained, probabilistic, causal explanations
D Kinney
Philosophy of Science 86 (1), 145-167, 2019
372019
Risk aversion and elite‐group ignorance
D Kinney, LK Bright
Philosophy and Phenomenological Research 106 (1), 35-57, 2023
222023
Causal feature learning for utility-maximizing agents
D Kinney, D Watson
International conference on probabilistic graphical models, 257-268, 2020
102020
Epistemology and anomaly detection in astrobiology
D Kinney, C Kempes
Biology & Philosophy 37 (4), 22, 2022
52022
Curie’s principle and causal graphs
D Kinney
Studies in History and Philosophy of Science Part A 87, 22-27, 2021
52021
Inductive explanation and Garber–Style solutions to the problem of old evidence
D Kinney
Synthese 196, 3995-4009, 2019
42019
Evaluations of causal claims reflect a trade-off between informativeness and compression
D Kinney, T Lombrozo
Proceedings of the annual meeting of the cognitive science society 44 (44), 2022
32022
Bayesian Networks and Causal Ecumenism
D Kinney
Erkenntnis 88 (1), 147-172, 2023
22023
Why Average When You Can Stack? Better Methods for Generating Accurate Group Credences
D Kinney
Philosophy of Science 89 (4), 845-863, 2022
22022
The problem of granularity for scientific explanation
D Kinney
London School of Economics and Political Science, 2019
22019
Stochastic Mathematical Systems
DH Wolpert, DB Kinney
arXiv preprint arXiv:2209.00543, 2022
12022
Diachronic trends in the topic distributions of formal epistemology abstracts
D Kinney
Synthese 200 (1), 10, 2022
12022
Noisy deductive reasoning: How humans construct math, and how math constructs universes
DH Wolpert, D Kinney
Undecidability, Uncomputability, and Unpredictability, 147-167, 2021
12021
Causal History, Statistical Relevance, and Explanatory Power
D Kinney
Philosophy of Science 90 (5), 1161-1172, 2023
2023
Lossy Compression and the Granularity of Causal Representation
D Kinney, T Lombrozo
NeurIPS 2023 workshop: Information-Theoretic Principles in Cognitive Systems, 2023
2023
Causal Theories and Structural Data Representations for Improving Out-of-Distribution Classification
D Martin Jr, D Kinney
arXiv preprint arXiv:2309.10211, 2023
2023
Building Compressed Causal Models of the World
DB Kinney, T Lombrozo
PsyArXiv, 2023
2023
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
D Kinney, T Lombrozo
Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023
2023
Blocking an Argument for Emergent Chance
D Kinney
Journal of Philosophical Logic 50 (5), 1057-1077, 2021
2021
Ladyman and Wiesner's What Is a Complex System?
D Kinney
BJPS Review of Books, 2021
2021
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Artikler 1–20