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Michael Y. Li
Michael Y. Li
Ph.D. Student, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Why think step by step? Reasoning emerges from the locality of experience
B Prystawski, MY Li, N Goodman
Advances in Neural Information Processing Systems 36, 2023
342023
Gaussian process surrogate models for neural networks
MY Li, E Grant, TL Griffiths
Uncertainty in Artificial Intelligence, 1241-1252, 2023
6*2023
Automated Statistical Model Discovery with Language Models
MY Li, EB Fox, ND Goodman
International Conference on Machine Learning, 2024
52024
Explainability constraints for bayesian optimization
MY Li, RP Adams
6th ICML Workshop on Automated Machine Learning, 2020
42020
NAS-X: neural adaptive smoothing via twisting
D Lawson*, M Li*, S Linderman
Advances in Neural Information Processing Systems 36, 2023
2*2023
What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions
L Zhang, MY Li, TL Griffiths
arXiv preprint arXiv:2406.03707, 2024
12024
Learning to Learn Functions
MY Li, F Callaway, WD Thompson, RP Adams, TL Griffiths
Cognitive science 47 (4), e13262, 2023
12023
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Articles 1–7