Long Ouyang
Long Ouyang
Department of Psychology, Stanford University
Verified email at stanford.edu
TitleCited byYear
Practical optimal experiment design with probabilistic programs
L Ouyang, MH Tessler, D Ly, N Goodman
arXiv preprint arXiv:1608.05046, 2016
102016
Semantic coherence facilitates distributional learning
L Ouyang, L Boroditsky, MC Frank
Cognitive science 41, 855-884, 2017
52017
Fabular: Regression formulas as probabilistic programming
J Borgström, AD Gordon, L Ouyang, C Russo, A Ścibior, M Szymczak
ACM SIGPLAN Notices 51 (1), 271-283, 2016
52016
webppl-oed: A practical optimal experiment design system.
L Ouyang, MH Tessler, D Ly, N Goodman
CogSci, 2018
32018
Semantic Coherence Facilitates Distributional Learning of Word Meanings
L Ouyang, L Boroditsky, MC Frank
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012
32012
Pedagogical learning
L Ouyang, MC Frank
arXiv preprint arXiv:1711.09401, 2017
22017
Bayesian Inference of Regular Expressions from Human-Generated Example Strings
L Ouyang
arXiv preprint arXiv:1805.08427, 2018
2018
Support and influence analysis for visualizing posteriors of probabilistic programs
L Ouyang
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Articles 1–8