Characterizing the Spectrum of the NTK via a Power Series Expansion
Michael Murray, Hui Jin, Benjamin Bowman, Guido Montufar, 2022.
Published in The Eleventh International Conference on Learning Representations (ICLR 2023).
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Publications
Learning curves for Gaussian process regression with power-law priors and targets
Hui Jin, Pradeep Kr Banerjee, Guido Montúfar, 2021.
Published in The Tenth International Conference on Learning Representations (ICLR 2022).
Workshop version presented at Workshop on Bayesian Deep Learning NeurIPS, 2021.
Implicit bias of gradient descent for mean squared error regression with wide neural networks
Hui Jin, Guido Montúfar, 2020.
Journal of Machine Learning Research JMLR 24(137):1-97, 2023. Repo GitHub.
Noisy Subgraph Isomorphisms on Multiplex Networks
Hui Jin, Xie He, Yanghui Wang, Hao Li, Andrea L Bertozzi, 2019.
Published in 2019 IEEE International Conference on Big Data (Big Data).
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