| 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, 2024 | 28 | 2024 |
| Gaussian process surrogate models for neural networks MY Li, E Grant, TL Griffiths Uncertainty in Artificial Intelligence, 1241-1252, 2023 | 5* | 2023 |
| Explainability constraints for bayesian optimization MY Li, RP Adams 6th ICML Workshop on Automated Machine Learning, 2020 | 3 | 2020 |
| Automated Statistical Model Discovery with Language Models MY Li, EB Fox, ND Goodman arXiv preprint arXiv:2402.17879, 2024 | 1 | 2024 |
| Nas-x: Neural adaptive smoothing via twisting D Lawson*, MY Li*, S Linderman Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| Learning to Learn Functions MY Li, F Callaway, WD Thompson, RP Adams, TL Griffiths Cognitive science 47 (4), e13262, 2023 | 1 | 2023 |
| Neural Adaptive Smoothing via Twisting MY Li, D Lawson, S Linderman Fifth Symposium on Advances in Approximate Bayesian Inference, 2023 | | 2023 |
| Numerical Analysis of the Knowledge Gradient for Locally Quadratic Functions in Multidimensional Learning Settings MY Li | | 2018 |
Noah D. GoodmanStanford UniversityZweryfikowany adres z stanford.edu
