Li, Michael Y.

5 publications

ICML 2025 Automated Hypothesis Validation with Agentic Sequential Falsifications Kexin Huang, Ying Jin, Ryan Li, Michael Y. Li, Emmanuel Candes, Jure Leskovec

TMLR 2025 What Should Embeddings Embed? Autoregressive Models Represent Latent Generating Distributions Liyi Zhang, Michael Y. Li, R. Thomas McCoy, Theodore Sumers, Jian-Qiao Zhu, Thomas L. Griffiths

ICML 2024 Automated Statistical Model Discovery with Language Models Michael Y. Li, Emily Fox, Noah Goodman

UAI 2023 Gaussian Process Surrogate Models for Neural Networks Michael Y. Li, Erin Grant, Thomas L. Griffiths

NeurIPSW 2021 Meta-Learning Inductive Biases of Learning Systems with Gaussian Processes Michael Y. Li, Erin Grant, Thomas L. Griffiths